{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5de0-76bd-a166-f40fca6ba3f1", "slug": "1c28a4601a3bdad7", "title": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "subtitle": "Ipsos", "author": "Ipsos", "pageCount": 33, "kind": "consulting-deck", "orientation": "landscape", "aspectRatio": 1.778, "document": { "id": "019dd923-5de0-76bd-a166-f40fca6ba3f1", "slug": "1c28a4601a3bdad7", "title": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "rawTitle": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "authorId": "misc", "authorName": "Ipsos", "authorDisplay": "Ipsos", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "industry_analyst", "label": "Industry analyst" }, "fileName": "Ipsos Public Trust in AI.pdf", "sourceUrl": "https://www.ipsos.com/sites/default/files/ct/news/documents/2024-09/Ipsos%20Public%20Trust%20in%20AI.pdf", "sourceDate": "2024-09-01 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-24 07:54:29+00", "status": "ready", "pageCount": 33, "orientation": "landscape", "aspectRatio": 1.778, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/1c28a4601a3bdad7", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 33, "pagesIndexed": 33, "pagesWithImages": 33, "pagesWithMetadata": 33, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 178, "chartCount": 13, "metricSlides": 0, "toolMatches": 25, "documentToolMatches": 0, "frameworkMatches": 1, "arcMatches": 1, "beatMatches": 4, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "evidence": "The deck follows a logical structure, starting with an introduction, then diving into key takeaways, and concluding with implications for policy and regulation.", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:12:16.391279+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Situation & Context", "beatId": "cabfc2d9-345d-4ab5-9d30-8c01f74d5341", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "The deck sets the stage with an introduction, key takeaways, and a table of contents.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 5, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null, "categoryName": "Vision", "categorySlug": "vision" }, "matchId": "91b6cb05-41ba-4b19-bf68-679864c6d4ed", "evidence": "The deck introduces the topic of public trust in AI and its implications for policy and regulation.", "position": 1, "objective": "Why is public trust in AI important?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.645445+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "d65631c0-7210-4e4f-a7d9-0689a7e44ca5", "evidence": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.083956+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "03841ee0-e057-482e-aad2-b5cd76c7eb8b", "evidence": "Realising AI's potential requires sustained investment, time, and crucially, public trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.15699+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "311cffa5-bcf5-407e-afe4-dbdd92e752ae", "evidence": "KNOWLEDGE AND USE OF AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.300172+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "3161e533-75c7-4d17-9394-79585914c627", "evidence": "Awareness of AI is almost universal at 98%, but only around a quarter of people say they know at least a fair amount about it.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:51.372708+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "b7474f36-96d6-4f77-9353-bb5c5be1b291", "evidence": "The rapid development of AI models has led to new applications appearing almost every month.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:51.444743+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b08bd014-8ca0-49fa-9842-c5766f530e98", "evidence": "BALANCING THE RISKS AND BENEFITS OF AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.51722+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "765e3c84-9db6-442a-ac5b-4d65ac045b50", "evidence": "chart/bar-stacked: Q: On balance, to what extent do you think the following will benefit or lose out from AI?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:37.832635+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "c127804b-4fb1-48b8-8426-89f9a50948ae", "evidence": "chart/bar-stacked: Q: On balance, do you see AI as more of an opportunity or a risk for the following?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:37.911403+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6ed8d087-018c-4150-b595-ed2c7ada286b", "evidence": "chart/scatter: Scatter plot of % Nervous vs % Excited by country", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:31:37.990663+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "385ae692-8a0e-4828-ba0f-8d75ce4d9ff0", "evidence": "chart/bar-grouped: Horizontal bar chart comparing 'Comfortable' (teal) and 'Uncomfortable' (magenta) sentiment across 24 AI use cases.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.072108+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f0837463-6f6e-4565-9b9d-38e833b9474f", "evidence": "paragraph/paragraph: Comfort with AI is highest where the benefits to individuals or society are most clear, and there are few obvious downsides.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.15091+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "3a63799b-f616-4fa5-8c3e-deb728570c3e", "evidence": "chart/bar-grouped: Q: Thinking about the current or future use of AI technologies, how comfortable or uncomfortable are you with the following?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.229943+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d7e3d21b-8e07-4c54-aa82-46fb7f676f34", "evidence": "paragraph/paragraph: There are big differences between age groups too. Those aged 16-24 are much more likely to be comfortable than over 75s with the use of AI in media, the use of chatbots (whether in customer services,", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.308766+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "d4c27a96-fef2-4b73-8a89-03e03ba2c042", "evidence": "paragraph/paragraph: At the same time, adopting clear guidelines for the use of AI will reassure the public and businesses when engaging with AI and its outputs.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.387978+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "711ed053-56f3-4957-b683-0039dbf44ef4", "evidence": "", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 1, "extraction": { "at": "2026-07-16 21:31:38.466706+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "cbcb05bb-98e9-466c-884b-f8b16b4f5e35", "evidence": "chart/bar-stacked: Q: Thinking about job roles like your current one, to what extent do you think AI technologies will (i) be used in (ii) replace job roles like yours in the next 3 to 5 years?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.545586+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "71e36dc6-89fd-47ee-bf7d-a7e473a2a494", "evidence": "paragraph/paragraph: For AI to benefit all of society, people need to feel confident using it, both in their daily lives and at work.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.625686+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "aafb3985-2dec-4d20-9dc5-31c5ecfd682e", "evidence": "Employers and policymakers will also need to make significant efforts to upskill the broader workforce for AI.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.107867+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "e05e0d10-0468-40c3-bef9-8d7f519241b5", "evidence": "Employers and policymakers will also need to make significant efforts to upskill the broader workforce for AI.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.144829+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "aa6520eb-0a1f-4d9a-8e26-355af9f9a2b4", "evidence": "chart/bar-stacked: Q: How much do you trust the following to use AI in a (i) responsible (ii) safe way?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 21:30:45.290172+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "60771b01-8f3c-44ce-bbd7-f71bdc74e35b", "evidence": "Public trust percentage: 66%", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.253033+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience frame", "slug": "audience-frame", "status": "active", "bestFor": null, "canonId": "2a1eefbd-5be8-4600-898b-49dbfcf73ec8", "version": 1, "bodyDocId": null, "description": "Tools for modelling and segmenting the audience (persona, JTBD, segmentation).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "517243bd-460f-41e6-998e-4de679beba3b", "evidence": "These differences in trust have significant implications for how AI is rolled out across public services.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.36492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "Story Moments", "slug": "story-moments", "status": "active", "bestFor": null, "canonId": "019dd956-ae4e-768d-a18b-108e6cda511e", "version": 1, "bodyDocId": null, "description": "Design key emotional beats: The Shock, The Vision, The Proof, The Choice, The Call", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "e1989d3e-2062-4f27-be48-1b19c404fe8f", "evidence": "The police will also need to carefully consider how they communicate about AI use, given the sensitivities around law enforcement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.4023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Call to action", "slug": "call-to-action", "status": "active", "bestFor": null, "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c", "version": 1, "bodyDocId": null, "description": "Explicit prescription of what the audience should do next.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4a083275-fd7b-44f9-849b-09a607eb1c00", "evidence": "By valuing public opinion and proactively addressing public concerns policymakers, regulators, and businesses can work together to build the essential public trust in AI needed to realise the full potential of AI in a responsible and inclusive way", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.551193+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "5179e618-c9ef-425b-9540-704c43439115", "evidence": "1. Develop clear and evolving principles for AI use that prioritise fairness, non-discrimination, privacy protection, and societal well-being", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:30:45.624125+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "39b2c723-9ee9-4e14-b298-7aad203c26a1", "evidence": "Grouping countries into Anglosphere, Europe, and More Positive clusters.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "frameworkName": "audience-segmentation" } ], "patterns": [] }, "storymakers": null, "score": { "backend": "claude", "scoredAt": "2026-05-02 11:35:36.202+00", "subScores": { "scqa_arc": 58, "action_titles": 60, "mece_structure": 72, "closing_strength": 72, "evidence_quality": 82, "clarity_of_thesis": 62, "production_quality": 55, "visual_storytelling": 60 }, "totalScore": 64, "coveragePct": 100, "explanations": { "scqa_arc": "Flow is more analytical-dump-by-section than SCQA; situation and complication emerge across slides 6-14, but the question is never crisply posed before recommendations land at slides 27-28.", "action_titles": "Roughly half the analytical slides carry true action titles (e.g. slide 11: 'Britons are more likely to be nervous than excited about AI'), but many remain topic labels (slides 9, 10, 18, 23, 25 'Addressing concerns through regulation').", "mece_structure": "The four content sections (Knowledge/Use, Risks-Benefits, Work, Regulation) are reasonably MECE, though risk perception (sec 2) and regulatory trust (sec 4) overlap somewhat.", "closing_strength": "Slide 27 delivers a single-sentence call to action and slide 28 lists nine numbered recommendations; slide 33 offers concrete next-step services — a clear, if slightly diffuse, close.", "evidence_quality": "Strong: claims are sourced (Ipsos AI Monitor 2024, n=5,098, KnowledgePanel methodology on slide 32), footnotes appear on data slides, and sample sizes are disclosed.", "clarity_of_thesis": "Slide 2 callout and slide 3 key takeaways gesture at a thesis (public trust is required for AI realisation), but no single declarative argument is stated up front — the reader infers it from six imperatives.", "production_quality": "Title on slide 27 is truncated/run-on, slides 20 and 21 share the identical title 'Challenges and opportunities for employers', and action-title coverage is inconsistent across the deck.", "visual_storytelling": "Good chart variety (stacked/grouped bars, scatter plot of 32 countries on slide 11, donut on slide 25), but six slides (6, 7, 12, 13, 14, 19) are flagged overcrowded which dilutes message clarity." }, "slidesAnalyzed": 33 }, "review": { "backend": null, "verdict": "A competent five-act research report with a clear spine and several genuinely declarative slide titles, but the soft opening, noun-phrase dividers, and principle-level closing keep it from being a Storymakers exemplar — use the risks/benefits section (p.11–14) as the teaching example, not the overall structure.", "reviewedAt": "2026-04-25 11:16:44+00", "slidesSeen": 33, "suggestions": [ "Rewrite all section dividers as claims (e.g. 'AI awareness is universal but real understanding is shallow') so each act opens with a thesis, not a topic", "Collapse the front matter (cover + intro + TOC + key takeaways) to two slides and put the BLUF on slide 2 so evidence starts by p.3", "Replace topic-label slides (p.9, 18, 20, 23) with declarative action titles that state who wins/loses, what the skills gap costs, and which institutions the public trusts least", "Convert the closing (p.27–28) into a one-page prioritized recommendation matrix — 3–5 specific actions for policymakers, regulators, and employers — with sequencing or owners" ], "closingScore": 70, "openingScore": 62, "topStrengths": [ "Clear five-act section structure with numbered dividers (p.5, 8, 17, 22, 26) that gives the reader a scannable spine", "Several action titles do real work (p.6, p.11, p.13 'There is openness to using AI when humans need help', p.14 'But people are wary about being misled…') and form a mini argument across the risks section", "Strong front-loaded thesis sentence in the intro callout (p.2) anchoring the entire report on 'public trust'", "Consistent use of headline statistics (98%, 53%, 59%, 66%, 71%) tied to claims rather than floating data" ], "topWeaknesses": [ "Opening burns four slides on cover/intro/TOC/takeaways before any evidence (p.1–4); a Storymakers opener would collapse these and lead with the answer", "Recurring topic-label titles (p.9, 18, 20, 21, 23 'Public trust and safety') flatten the argument where action titles should accelerate it", "Section dividers (p.5, 8, 17, 22) are noun phrases, not claims — they signal chapters but not the deck's point of view", "The 'Conclusions' (p.27–28) restate themes rather than issue a prioritized recommendation set; no owner, no sequencing, no 'so what now'", "Duplicate titles on p.20 and p.21 ('Challenges and opportunities for employers') signal a missing edit pass and weaken narrative momentum" ], "narrativeScore": 68, "pillarCritique": "The five section dividers (Knowledge & Use, Risks & Benefits, AI & Work, Regulating for Safe AI, Conclusions) are reasonably MECE for a public-trust report but read as topic dumps rather than answer-driven pillars — none is phrased as a claim.", "closingCritique": "There is an explicit recommend act on p.27–28 with a clear thesis sentence ('valuing public opinion and proactively addressing public concerns…'), but it stops at principle-level guidance with no concrete next steps, owners, or timeline — the call to action is more aspirational than operational.", "openingCritique": "Slide 2's callout ('AI's potential requires sustained investment, time, and crucially, public trust') sets stakes well, and a 'Key takeaways' on p.3 leads with the answer; however, the cover, intro, takeaways, and TOC consume four of the first five slides, so the first piece of evidence doesn't land until p.6.", "extractionSeconds": 86.721436, "narrativeCritique": "The deck follows a recognizable S→C→A→R arc across five labelled sections (Knowledge → Risks/Benefits → Work → Regulation → Conclusions), but the 'Complication' is diffuse — tension is implied across multiple data sections rather than framed sharply up front, weakening the build to resolution.", "titleQualityScore": 72, "titleQualityCritique": "Many titles are genuinely declarative and insight-bearing (p.6 'Despite the ongoing focus on AI, public knowledge and use remain low'; p.11 'Britons are more likely to be nervous than excited about AI'), but a meaningful minority are bare topic labels (p.9 'Perceived winners and losers from AI', p.18 'Job replacement and support', p.20–21 'Challenges and opportunities for employers')." }, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/vyepgxpx_jL0GKfro_RzqStUhmOSODLPWuyMMs8LoFQ/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xYzI4YTQ2MDFhM2JkYWQ3L3AwMDEuanBn", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 2, "textChars": 63, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:08.773+00", "seconds": 2.295, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/1", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-1", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.07, "w": 0.05, "x": 0.92, "y": 0.9 }, "kind": "image", "text": "Ipsos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:08.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8119cb11-0f35-4272-809c-2e9bf1620d05", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.5, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:08.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e58992be-7c96-498a-9134-6277fbd14a6c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "d65631c0-7210-4e4f-a7d9-0689a7e44ca5", "evidence": "PUBLIC TRUST IN AI: IMPLICATIONS FOR POLICY AND REGULATION", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.083956+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/1HvkUmBu53_gpsYtTwVFquQi3mYWUh3xx8u-e3Q93oE/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xYzI4YTQ2MDFhM2JkYWQ3L3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/7q9vWNyx_ImATL3Mw2tAPYhdcdtCGEs5bUIk3t_VJVI/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xYzI4YTQ2MDFhM2JkYWQ3L3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/h96zDRGlVMTI-J3XjlhOJZNbUGZ1rsbUDbyjBj0ZAKI/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xYzI4YTQ2MDFhM2JkYWQ3L3AwMDEucG5n" }, { "page": 2, "type": "setup", "function": "front_matter", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 81, "componentCount": 9, "textChars": 1621, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "headshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:14.158+00", "seconds": 7.602, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/2", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-2", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Realising AI's potential requires sustained investment, time, and crucially, public trust.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-6985a9dc5847", "parentComponentId": null }, { "bbox": { "h": 0.464, "w": 0.183, "x": 0.817, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e83557ec-b0aa-42da-ae72-a1cc847190ba", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.409, "y": 0.535 }, "kind": "paragraph", "text": "We hope you find this report informative and insightful. For more information or to further discuss the findings and implications, please contact me at Trinh.Tu@ipsos.com", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e0f2353-61fb-4922-a819-71dbca389051", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.35, "x": 0.036, "y": 0.213 }, "kind": "paragraph", "text": "The rapid advancement of Artificial Intelligence (AI) is poised to revolutionise many aspects of life in the UK, bringing both unprecedented opportunities and challenges. While AI is not new, the advent of accessible platforms like ChatGPT has brought it to the forefront of public attention, sparking both excitement and concern.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4c78964f-60e3-4a8d-b6c0-a8d61edb4f65", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.036, "y": 0.655 }, "kind": "paragraph", "text": "This report provides UK policymakers and regulators with insights into public attitudes towards AI, drawing on Ipsos' UK and global opinion tracking. Our findings reveal a complex mix of openness and concern among the public, with views varying significantly across AI applications and demographics.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4fb4ade6-a08b-433d-b5fb-fccbd766d7f9", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.35, "x": 0.409, "y": 0.213 }, "kind": "paragraph", "text": "Realising AI's potential requires sustained investment, time, and crucially, public trust. This demands transparent communication about AI development and use, coupled with robust ethical guidelines and regulations. This report delves into these critical considerations, presenting detailed findings on public attitudes that are essential for public sector leaders to successfully deploy AI in alignment with public priorities and values.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e1945da5-82d7-4d2e-a91e-cf371fee62de", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.036, "y": 0.465 }, "kind": "paragraph", "text": "The UK faces significant challenges in public service delivery, and AI offers potential solutions in areas such as healthcare, education and administration. However, a balanced, evidence-based approach to implementation is crucial.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e74d2f17-2ff5-4012-a814-9fdbcfb0aa6e", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.2, "x": 0.409, "y": 0.79 }, "kind": "paragraph", "text": "Trinh Tu, Managing Director\nIpsos Public Affairs UK", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f5f5b3c5-ef4f-47d7-b145-760b7c89b3ca", "parentComponentId": null }, { "bbox": { "h": 0.051, "w": 0.197, "x": 0.036, "y": 0.106 }, "kind": "title", "text": "Introduction", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.158+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a8a61d2-e6ed-498e-9e75-eea850e38d38", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "03841ee0-e057-482e-aad2-b5cd76c7eb8b", "evidence": "Realising AI's potential requires sustained investment, time, and crucially, public trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.15699+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 2, "name": "Situation & Context", "beatId": "cabfc2d9-345d-4ab5-9d30-8c01f74d5341", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "The deck sets the stage with an introduction, key takeaways, and a table of contents.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "91b6cb05-41ba-4b19-bf68-679864c6d4ed", "evidence": "The deck introduces the topic of public trust in AI and its implications for policy and regulation.", "position": 1, "objective": "Why is public trust in AI important?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.645445+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 74, "componentCount": 8, "textChars": 1269, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "bullet_list", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:10.163+00", "seconds": 3.56, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/3", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-3", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.67, "w": 0.07, "x": 0.03, "y": 0.21 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43a2fbda-7d58-42c6-9615-10f5d1656912", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.78 }, "kind": "list", "text": "Ongoing public engagement to understand evolving attitudes is crucial. Policymakers need to commit to proactively shaping an approach to AI that earns public understanding, trust, and support.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a29d3e14-3bf7-464e-9098-c2cce6cae59f", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.23 }, "kind": "list", "text": "Despite growing adoption of AI tools by organisations, public understanding and use remain low, particularly among some demographic groups. Proactive, targeted education and engagement is needed to improve AI literacy and access.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b9e0777b-6be0-41d9-9222-9eb143d37497", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.67 }, "kind": "list", "text": "Many of the workforce do not feel ready for AI. Government and businesses should emphasise AI as enhancing jobs and target skills-building in sectors likely to be most reliant on AI.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c0f35a60-5c9b-4c31-8bb3-4298b167500a", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.56 }, "kind": "list", "text": "The pace of AI regulation is viewed as too slow by most. The UK needs to establish a robust framework drawing on global best practices, with public trust and safety as central objectives.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d1520b56-e539-49be-b351-79cbdd8446a1", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.34 }, "kind": "list", "text": "The public sees AI as benefiting some groups more than others, with more currently perceiving AI as a risk than an opportunity overall. Building trust will require demonstrating clear benefits and addressing concerns in a transparent way.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e54817a4-7e27-4ace-81ff-897e1ffcf64f", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.12, "y": 0.45 }, "kind": "list", "text": "People are open to AI assisting humans but uncomfortable with it replacing human judgement for high-stakes decisions. Starting with high-benefit, low-risk applications tied to public priorities will help build public confidence.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e7ee51e1-a5c8-45eb-842c-2060ecaabd98", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.23, "x": 0.06, "y": 0.09 }, "kind": "title", "text": "Key takeaways", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a550500c-3119-426a-a8da-840143fcad52", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 2, "name": "Situation & Context", "beatId": "cabfc2d9-345d-4ab5-9d30-8c01f74d5341", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "The deck sets the stage with an introduction, key takeaways, and a table of contents.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "91b6cb05-41ba-4b19-bf68-679864c6d4ed", "evidence": "The deck introduces the topic of public trust in AI and its implications for policy and regulation.", "position": 1, "objective": "Why is public trust in AI important?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.645445+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "setup", "function": "front_matter", "rawType": "table_of_contents", "block": null, "metadata": { "slideType": "table_of_contents", "slideTypeCanon": { "name": "Table of contents", "slug": "table_of_contents", "status": "active", "canonId": "019de52d-0643-721b-9b85-69676bb85cf8", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 7, "componentCount": 2, "textChars": 144, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:09.213+00", "seconds": 2.38, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/4", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-4", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.928, "x": 0.036, "y": 0.28 }, "kind": "list", "text": "1. KNOWLEDGE AND USE OF AI\n2. BALANCING THE RISKS AND BENEFITS OF AI\n3. AI AND WORK\n4. REGULATING FOR SAFE AI\n5. CONCLUSIONS\n6. APPENDIX", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.213+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f5b2406-1a49-41da-b062-e5d865ae6b57", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.155, "x": 0.036, "y": 0.106 }, "kind": "title", "text": "Contents", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.213+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "36c96b6e-3476-4dc7-b422-524216b45b73", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 2, "name": "Situation & Context", "beatId": "cabfc2d9-345d-4ab5-9d30-8c01f74d5341", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "The deck sets the stage with an introduction, key takeaways, and a table of contents.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "91b6cb05-41ba-4b19-bf68-679864c6d4ed", "evidence": "The deck introduces the topic of public trust in AI and its implications for policy and regulation.", "position": 1, "objective": "Why is public trust in AI important?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.645445+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 13, "componentCount": 4, "textChars": 98, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:09.248+00", "seconds": 2.41, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/5", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-5", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.03, "w": 0.25, "x": 0.03, "y": 0.95 }, "kind": "disclaimer", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2297ab09-badd-4d54-83ec-beab0bc7074d", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.3, "x": 0.55, "y": 0.25 }, "kind": "image", "text": "Neon lightbulb icon", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4463b47d-23d3-499e-ac3d-375161d3685d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "KNOWLEDGE AND USE OF AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8139378e-d209-49bf-82c8-ed331e70e962", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.05, "y": 0.55 }, "kind": "title", "text": "01", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2e151ec-7189-4699-9f8b-bdb918ffb7fa", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "311cffa5-bcf5-407e-afe4-dbdd92e752ae", "evidence": "KNOWLEDGE AND USE OF AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.300172+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 2, "name": "Situation & Context", "beatId": "cabfc2d9-345d-4ab5-9d30-8c01f74d5341", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "The deck sets the stage with an introduction, key takeaways, and a table of contents.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "91b6cb05-41ba-4b19-bf68-679864c6d4ed", "evidence": "The deck introduces the topic of public trust in AI and its implications for policy and regulation.", "position": 1, "objective": "Why is public trust in AI important?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.645445+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "resolution", "title": "Data source: Ipsos Public Trust in AI, March 2024. Base: All UK adults 16+ (n=5,150).", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 89, "componentCount": 10, "textChars": 1431, "nDataPoints": 6, "notes": "Data source: Ipsos Public Trust in AI, March 2024. Base: All UK adults 16+ (n=5,150).", "elementsJson": [ "headline_text", "paragraph", "donut_chart", "bar_chart_stacked" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:10.542+00", "seconds": 3.567, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/6", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-6", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Awareness of AI is almost universal at 98%, but only around a quarter of people say they know at least a fair amount about it.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-c64ba839af1a", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.15, "x": 0.51, "y": 0.3 }, "kind": "chart", "text": "Stacked bar chart showing knowledge levels: 5% know a lot, 21% know a fair amount, 57% know a little, 15% heard of it but know nothing, 2% not heard of it.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e5ec60a-6991-4dd4-8b08-1783edfb9ff3", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.1, "x": 0.75, "y": 0.28 }, "kind": "chart", "text": "Donut chart showing 26% knowledge level.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Donut chart", "slug": "donut", "status": "active", "canonId": "019de52d-0006-752c-9528-0fef476b8004", "version": 1, "description": null }, "framework": null }, "subkind": "donut", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "446bc146-7e38-4c6a-b117-4939aa036248", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.06, "x": 0.9, "y": 0.34 }, "kind": "metric", "text": "25%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0ab4ad64-60a9-4476-9b59-439ec00c71e4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public knowledge of AI: 26%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-ca9299716d0f", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.06, "y": 0.11 }, "kind": "paragraph", "text": "Awareness of AI is almost universal at 98%, but only around a quarter of people say they know at least a fair amount about it. Despite the huge focus on AI in the media and many workplaces, public knowledge has not shifted meaningfully in the last six months, highlighting the gap between the ongoing buzz around AI and limited public understanding.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "126dca7d-0b52-4ca7-a0f9-fe573c8425f8", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.06, "y": 0.34 }, "kind": "paragraph", "text": "Those who say they know more include men, younger people, those in-work, graduates, and Londoners. People from ethnic minority backgrounds are also more likely to say they know about AI than their white counterparts.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dec54723-2dbc-44de-ac41-ddaffb2463e1", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.06, "y": 0.5 }, "kind": "paragraph", "text": "Notably, the groups who know more about AI tend to have more trust in the technology, feel more comfortable with different use cases, and engage more themselves with AI in their work and personal lives. This suggests a potential divide emerging between those who are more knowledgeable and confident in exploring AI, and those with lower awareness who risk being left behind as the technology advances.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e9c86072-55e3-408b-bf6d-e472bb1d60fc", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.16, "x": 0.8, "y": 0.86 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,150). March 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "408b906b-a4b3-49ce-a96f-1c16cc7ad8e2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.51, "y": 0.1 }, "kind": "title", "text": "Despite the ongoing focus on AI, public knowledge and use remain low", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3e9d7b27-a036-47db-bf4a-31eb8a85c208", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "3161e533-75c7-4d17-9394-79585914c627", "evidence": "Awareness of AI is almost universal at 98%, but only around a quarter of people say they know at least a fair amount about it.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:51.372708+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 7, "type": "analysis", "title": "Data source: Ipsos Iris. Base sizes provided for work and general population.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 87, "componentCount": 9, "textChars": 1415, "nDataPoints": 10, "notes": "Data source: Ipsos Iris. Base sizes provided for work and general population.", "elementsJson": [ "headline_text", "paragraph", "bar_chart_100pct", "icon_grid", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:10.289+00", "seconds": 3.222, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/7", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-7", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "This suggests that while people may be interacting with AI without always being aware of it, conscious use of AI, particularly gen AI, remains low and has not seen a significant increase between September 2023 and March 2024.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-a15646535714", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.45, "x": 0.05, "y": 0.4 }, "kind": "chart", "text": "Work and Personal life usage frequency stacked bars", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart (100%)", "slug": "bar-stacked-100pct", "status": "active", "canonId": "019de52c-ff14-71b8-8d88-860f8d7da84b", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked-100pct", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf090f44-a313-458a-8d53-9b107dc22465", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Frequency of generative AI usage: 11%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-a4c344f052cb", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.45, "x": 0.05, "y": 0.28 }, "kind": "paragraph", "text": "Q: How often, if at all, have you used such ‘generative’ AI tools (including tools like ChatGPT, Jasper and Bard) in your work or personal life?", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "19e371ca-c9e0-44cb-9617-90987bc81792", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.42, "x": 0.53, "y": 0.38 }, "kind": "paragraph", "text": "This suggests that while people may be interacting with AI without always being aware of it, conscious use of AI, particularly gen AI, remains low and has not seen a significant increase between September 2023 and March 2024.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5621a20d-f48a-42e4-b1af-3dad3747ba55", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.42, "x": 0.53, "y": 0.55 }, "kind": "paragraph", "text": "In fact, according to Ipsos Iris, the UK’s only endorsed online audience measurement solution, ChatGPT reaches just over 1% of the total UK population. Its average weekly visitation remains lower relative to search and information tools, and still a long way behind Google.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65dbcc39-c76f-4524-af2f-28b25a2c2c0c", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.42, "x": 0.53, "y": 0.12 }, "kind": "paragraph", "text": "The rapid development of AI models has led to new applications appearing almost every month. However, despite this progress, only 11% of the public report frequent gen-AI use in their personal lives, a figure mirrored by the 12% of workers who frequently use gen-AI in their jobs.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92fd0e08-3f34-4b1f-8ffd-2886b6b6835b", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.05, "y": 0.88 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,150); All UK adults 16+ who are in work (n=2,506). March 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6297498-160f-4cdc-8561-db89c397fcbe", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Most people do not use generative AI in their work or personal lives – and few do so often", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.289+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca3001e3-1e0b-4338-9b53-4b8a1a17ef74", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "b7474f36-96d6-4f77-9353-bb5c5be1b291", "evidence": "The rapid development of AI models has led to new applications appearing almost every month.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:51.444743+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 8, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 7, "componentCount": 3, "textChars": 71, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "big_number", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:09.143+00", "seconds": 2.013, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/8", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-8", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.22, "x": 0.53, "y": 0.45 }, "kind": "image", "text": "Scale icon representing balance", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.143+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e539c22-76d7-4824-be4d-ea89d97253bb", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "BALANCING THE RISKS AND BENEFITS OF AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.143+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "039bb258-3235-4adc-acc4-486dd4f2611b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.05, "y": 0.5 }, "kind": "title", "text": "02", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.143+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e0b89b72-bc5b-4a4e-b01a-c749641f9e0a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b08bd014-8ca0-49fa-9842-c5766f530e98", "evidence": "BALANCING THE RISKS AND BENEFITS OF AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:30:51.51722+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 9, "type": "analysis", "title": "The chart is a stacked bar chart representing survey responses across three categories: Benefit, Equal measure, and Lose out.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 879, "nDataPoints": 27, "notes": "The chart is a stacked bar chart representing survey responses across three categories: Benefit, Equal measure, and Lose out.", "elementsJson": [ "headline_text", "paragraph", "bar_chart_stacked" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:10.488+00", "seconds": 3.189, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/9", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-9", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "The public have mixed views on what AI will mean for different groups in society.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-1c3009d9cb71", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.63, "x": 0.325, "y": 0.26 }, "kind": "chart", "text": "Q: On balance, to what extent do you think the following will benefit or lose out from AI?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f9f1ecda-780e-4801-87ed-f64bdac67e1c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public perception of AI impact: 59%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-2259fe8895db", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.295, "x": 0.036, "y": 0.215 }, "kind": "paragraph", "text": "The public have mixed views on what AI will mean for different groups in society. On balance, they expect businesses, patients, students, public sector organisations, younger people, and consumers to benefit from the technology. However, others are expected to lose out from AI overall, including both skilled and unskilled workers and older people. This is likely to reflect concerns around AI replacing workers and barriers around older people knowing how to use AI. At the same time, it suggests the narrative around the benefits of AI is not cutting through for some parts of society.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "23a1bce7-d83d-46fc-b865-f3211004f337", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.18, "x": 0.78, "y": 0.85 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,098). September 2023", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "adc65394-7a3c-4b61-bdbf-42b2e74b6ff4", "parentComponentId": null }, { "bbox": { "h": 0.044, "w": 0.415, "x": 0.036, "y": 0.106 }, "kind": "title", "text": "Perceived winners and losers from AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ddb58382-1de2-4e60-9c19-04da3e890ca9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "765e3c84-9db6-442a-ac5b-4d65ac045b50", "evidence": "chart/bar-stacked: Q: On balance, to what extent do you think the following will benefit or lose out from AI?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:37.832635+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 10, "type": "analysis", "title": "Data source: Ipsos AI Monitor 2024. Base: All adults 16+ (n=5,098).", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 54, "componentCount": 6, "textChars": 555, "nDataPoints": 15, "notes": "Data source: Ipsos AI Monitor 2024. Base: All adults 16+ (n=5,098).", "elementsJson": [ "headline_text", "paragraph", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:09.253+00", "seconds": 1.945, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/10", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-10", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "For the UK public, AI continues to be seen as more of a risk than an opportunity when it comes to national security, wider society, the economy and public services.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-749962f92e32", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.6, "x": 0.35, "y": 0.25 }, "kind": "chart", "text": "Q: On balance, do you see AI as more of an opportunity or a risk for the following?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.253+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "50e0c1c6-4df5-4f15-b09d-e7d25c738372", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public sentiment: 53%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-7bfc6a4fe241", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.3, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "For the UK public, AI continues to be seen as more of a risk than an opportunity when it comes to national security, wider society, the economy and public services. People are also unconvinced AI will be good for them personally.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.253+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c12ddb45-0558-46f4-b0ce-c60eeaa93507", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.85, "y": 0.85 }, "kind": "source-note", "text": "Base: All adults 16+ (n=5,098)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.253+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6d0f63ba-970e-47a4-9428-661bcd01d960", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "The risks and benefits of AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:09.253+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e4f599f9-a1bf-44e1-89a6-1ba185537fbc", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "c127804b-4fb1-48b8-8426-89f9a50948ae", "evidence": "chart/bar-stacked: Q: On balance, do you see AI as more of an opportunity or a risk for the following?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:37.911403+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 11, "type": "setup", "title": "The chart uses clustering (Anglosphere, Europe, More Positive) to group countries by sentiment.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 424, "nDataPoints": 32, "notes": "The chart uses clustering (Anglosphere, Europe, More Positive) to group countries by sentiment.", "elementsJson": [ "headline_text", "paragraph", "scatter_plot", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:10.512+00", "seconds": 3.077, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/11", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-11", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.7, "x": 0.25, "y": 0.05 }, "kind": "chart", "text": "Scatter plot of % Nervous vs % Excited by country", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3c8b6e74-fd63-4c54-a085-67404c1b5b10", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public sentiment towards AI", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-24acc07a997d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.45 }, "kind": "paragraph", "text": "Q. How much do you agree or disagree with the following? Products and services using artificial intelligence make me nervous. Products and services using artificial intelligence make me excited.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2a72e0d3-c1b1-451c-b609-876614701969", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.85 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 - May 3, 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8129471f-c0d7-45a2-bd91-fd6fae77c740", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Britons are more likely to be nervous than excited about AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "27893dee-1d17-4777-af99-1d3db00c1803", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6ed8d087-018c-4150-b595-ed2c7ada286b", "evidence": "chart/scatter: Scatter plot of % Nervous vs % Excited by country", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:31:37.990663+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "39b2c723-9ee9-4e14-b298-7aad203c26a1", "evidence": "Grouping countries into Anglosphere, Europe, and More Positive clusters.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 18:44:10.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "frameworkName": "audience-segmentation" } ], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 12, "type": "analysis", "title": "The chart displays a clear divergence in public sentiment based on the utility vs. intrusiveness of the AI application.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 60, "componentCount": 6, "textChars": 686, "nDataPoints": 48, "notes": "The chart displays a clear divergence in public sentiment based on the utility vs. intrusiveness of the AI application.", "elementsJson": [ "headline_text", "paragraph", "bar_chart_grouped", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:15.367+00", "seconds": 7.846, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/12", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-12", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "There is no single view of AI as a technology. As we find so often, public views of new technologies are nuanced and depend on the detailed context of how they are used.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-0740230af777", "parentComponentId": null }, { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Horizontal bar chart comparing 'Comfortable' (teal) and 'Uncomfortable' (magenta) sentiment across 24 AI use cases.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.367+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db3f6856-4825-44e1-9d6f-e2d72edc1d30", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public comfort level: 66%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-0be063e3cad4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.05, "y": 0.25 }, "kind": "paragraph", "text": "There is no single view of AI as a technology. As we find so often, public views of new technologies are nuanced and depend on the detailed context of how they are used.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.367+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2be8e3a3-3215-4f48-b058-56d1f753b2ac", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.68, "x": 0.28, "y": 0.87 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,150). March 2024; All adults 16+ (n=5,098). September 2023. Note that use cases were asked in either March 2024 or September 2023", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.367+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "913c3e49-bed9-4146-b15d-08929abdd3db", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "It’s clear that the specifics matter to the public", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.367+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac7aa712-b756-4ebd-a9f0-a10cb880331f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "385ae692-8a0e-4828-ba0f-8d75ce4d9ff0", "evidence": "chart/bar-grouped: Horizontal bar chart comparing 'Comfortable' (teal) and 'Uncomfortable' (magenta) sentiment across 24 AI use cases.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.072108+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 13, "type": "resolution", "title": "The chart displays comfort vs discomfort levels for 7 specific AI use cases.", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 944, "nDataPoints": 14, "notes": "The chart displays comfort vs discomfort levels for 7 specific AI use cases.", "elementsJson": [ "headline_text", "bar_chart_grouped", "paragraph", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:14.494+00", "seconds": 6.223, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/13", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-13", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Comfort with AI is highest where the benefits to individuals or society are most clear, and there are few obvious downsides.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-e50c493e41e2", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.43, "x": 0.05, "y": 0.1 }, "kind": "chart", "text": "Comfort vs Uncomfortable levels for 7 AI use cases", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.494+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56d91931-f189-4ad0-a415-8cdccb98612a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Comfort level: 66%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfc-e9fc77566bad", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.45, "x": 0.51, "y": 0.25 }, "kind": "paragraph", "text": "Comfort with AI is highest where the benefits to individuals or society are most clear, and there are few obvious downsides. For example, most people in the UK are comfortable with using AI to improve traffic flow, to identify known criminals or missing persons, and in various ways in healthcare, such as helping to diagnose diseases, identify those at increased risk from chronic illnesses, and monitor those with long-term health conditions. In these cases, people believe that the benefits of AI clearly outweigh the risks for the public.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.494+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eee7982f-7588-4071-a7a9-0deead5e471d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.43, "x": 0.05, "y": 0.86 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,150). March 2024; All adults 16+ (n=5,098). September 2023. Note that use cases were asked in either March 2024 or September 2023.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.494+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6f19d5b4-cefd-43ac-a4ba-f1d88a67ca5d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.51, "y": 0.1 }, "kind": "title", "text": "There is openness to using AI when humans need help", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.494+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b813672b-3b9f-47fd-8380-33f5a597ebcd", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f0837463-6f6e-4565-9b9d-38e833b9474f", "evidence": "paragraph/paragraph: Comfort with AI is highest where the benefits to individuals or society are most clear, and there are few obvious downsides.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.15091+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 14, "type": "analysis", "title": "Data source: Ipsos Public Trust in AI, September 2024.", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 6, "textChars": 1202, "nDataPoints": 15, "notes": "Data source: Ipsos Public Trust in AI, September 2024.", "elementsJson": [ "headline_text", "paragraph", "bar_chart_grouped", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.363+00", "seconds": 2.579, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/14", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-14", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "People are also uncomfortable with AI making high-stakes decisions that significantly impact people's lives without human oversight, such as assessing welfare benefits (22% comfortable) or marking exams (24%).", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-59a3b2393667", "parentComponentId": null }, { "bbox": { "h": 0.8, "w": 0.45, "x": 0.5, "y": 0.05 }, "kind": "chart", "text": "Q: Thinking about the current or future use of AI technologies, how comfortable or uncomfortable are you with the following?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7075adf4-a78d-4831-b30f-414763389d19", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Uncomfortable percentage: 67%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-5fe33a5479ec", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.05, "y": 0.25 }, "kind": "paragraph", "text": "However, there are also many uses of AI that make people feel uncomfortable. They are most uncomfortable where AI could be used to mislead by creating 'fake' content featuring famous people, or filtering or personalising the content that people see. This may be because most do not feel confident that they could differentiate AI-generated audio (78%), images (71%), or video (71%) from the real thing. People are also uncomfortable with AI making high-stakes decisions that significantly impact people's lives without human oversight, such as assessing welfare benefits (22% comfortable) or marking exams (24%).", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "61cbeef5-dd1f-4fa1-bb47-e9bad76a347e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.45, "x": 0.5, "y": 0.85 }, "kind": "source-note", "text": "Base: All UK adults 16+ (n=5,150). March 2024; All adults 16+ (n=5,098). September 2023. Note that use cases were asked in either March 2024 or September 2023.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc117fb4-ed8b-456c-a993-2948b537f0d7", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.07 }, "kind": "title", "text": "But people are wary about being misled or humans being replaced by AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa926c73-1e63-4d13-b3e1-a43e2173f355", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "3a63799b-f616-4fa5-8c3e-deb728570c3e", "evidence": "chart/bar-grouped: Q: Thinking about the current or future use of AI technologies, how comfortable or uncomfortable are you with the following?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.229943+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 14, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 6, "name": "Problem & Complication", "beatId": "ac61fb6d-31c3-4721-8660-5e97d8243c1f", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 15, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 76, "componentCount": 8, "textChars": 1670, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:13.709+00", "seconds": 4.897, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/15", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-15", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "A blanket approach is unlikely to work given the wide range of views across the population.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-4249f2591dfb", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.06, "x": 0.92, "y": 0.9 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "682dddde-d80a-42e2-8e1a-993a901cb112", "parentComponentId": null }, { "bbox": { "h": 0.87, "w": 0.25, "x": 0, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fd465da0-9340-4b26-ae96-3d109b883252", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.22, "x": 0.28, "y": 0.21 }, "kind": "paragraph", "text": "The use of AI in healthcare and security settings have some of the highest levels of comfort overall. However, this also hides some of the largest variations between different groups in society. For example, when it comes to healthcare, comfort is much higher among those who know about AI compared to those who do not. Similarly, men are more comfortable than women, and graduates are more comfortable than non-graduates with the potential healthcare uses.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4650d159-f615-40db-ad9e-5683f65f7c6b", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.22, "x": 0.52, "y": 0.21 }, "kind": "paragraph", "text": "There are big differences between age groups too. Those aged 16-24 are much more likely to be comfortable than over 75s with the use of AI in media, the use of chatbots (whether in customer services, education and health settings) and in analysing personal information to tailor content for individuals. Conversely, those over 75 are much more likely to be comfortable than those aged 16-24 with the use of AI in health and security settings (e.g. detecting crime, identifying those likely to commit fraud, and detecting security threats).", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6231a022-dfd4-4475-b918-1bcbf019b05d", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.22, "x": 0.76, "y": 0.21 }, "kind": "paragraph", "text": "This adds further complexity to understanding public views of AI, emphasising how perceptions are shaped by broader priorities and attitudes. These findings also demonstrate that those in charge of AI policy will need to take a nuanced approach to building public trust, tailoring their communications and outreach to the needs and concerns of different groups. A blanket approach is unlikely to work given the wide range of views across the population.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd56a688-fff8-4640-8359-5bfce558bec4", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.22, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0721883f-dff2-4cd5-9963-eb93fd58d834", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.65, "x": 0.28, "y": 0.06 }, "kind": "title", "text": "Levels of comfort with different AI use cases vary across demographic groups", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.709+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6445c368-8be2-4b80-8322-6afd35ad83b5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d7e3d21b-8e07-4c54-aa82-46fb7f676f34", "evidence": "paragraph/paragraph: There are big differences between age groups too. Those aged 16-24 are much more likely to be comfortable than over 75s with the use of AI in media, the use of chatbots (whether in customer services,", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.308766+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 16, "type": "setup", "function": "summarize", "rawType": "key_messages", "block": null, "metadata": { "slideType": "key_messages", "slideTypeCanon": { "name": "Key messages", "slug": "key_messages", "status": "active", "canonId": "019de52d-0712-703f-89f5-bda6688faf3f", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 81, "componentCount": 8, "textChars": 1793, "nDataPoints": 1, "notes": null, "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:15.788+00", "seconds": 6.906, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/16", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-16", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "This gradual approach will resonate with the public, helping to build trust, since over half of the public (53%) believe that public services shouldn't use new technologies like AI until they have been proven reliable in other sectors.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-914682821782", "parentComponentId": null }, { "bbox": { "h": 0.85, "w": 0.25, "x": 0.75, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9da59b2c-f945-4c6c-a819-44f0ce251a5b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "public trust: 53%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-94246aba689f", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.28, "x": 0.35, "y": 0.18 }, "kind": "paragraph", "text": "At the same time, adopting clear guidelines for the use of AI will reassure the public and businesses when engaging with AI and its outputs. This gradual approach will resonate with the public, helping to build trust, since over half of the public (53%) believe that public services shouldn't use new technologies like AI until they have been proven reliable in other sectors. This will also help to alleviate existing public concerns over the sharing of personal data across public service organisations, which is key to realising the potential efficiency gains in public services from AI adoption.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b3bf7bc1-2fe9-42d7-851b-e70602cf4057", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.28, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "To build public trust in AI, policymakers and regulators need to adopt a gradual approach to expanding its use. They should start with applications that have well-defined benefits and minimal perceived risks. These initial AI deployments should be clearly linked to outcomes that matter to people. For example, using AI to reduce waiting lists, support preventative care, and to help more people stay in work align well with public priorities. Openly talking about the positive impacts of early AI projects can pave the way for public acceptance in more complex areas over time.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf51212a-b0fe-44b1-81e7-149c428a1c7b", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.28, "x": 0.65, "y": 0.18 }, "kind": "paragraph", "text": "Policymakers and regulators also need to keep engaging with the public to understand how views on AI are evolving. For example, drawing lessons from public engagement around net zero, fairness and making sure no-one is left behind are likely to be key principles for AI rollouts too.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f3a30d8d-ded9-481a-958d-7b3a25727647", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.25, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "572c1df2-3f23-4d42-b297-4d647809c464", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Building public trust in AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.788+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89c06190-bdd8-46bd-ac85-273521fa4a9c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "d4c27a96-fef2-4b73-8a89-03e03ba2c042", "evidence": "paragraph/paragraph: At the same time, adopting clear guidelines for the use of AI will reassure the public and businesses when engaging with AI and its outputs.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.387978+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 17, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 3, "textChars": 13, "nDataPoints": 0, "notes": null, "elementsJson": [ "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.778+00", "seconds": 2.71, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/17", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-17", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.204, "w": 0.262, "x": 0.538, "y": 0.398 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": null, "framework": null }, "subkind": "iconography", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.778+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e22fe2f-47d7-44f5-b941-fbc41fe3def6", "parentComponentId": null }, { "bbox": { "h": 0.167, "w": 0.125, "x": 0.035, "y": 0.545 }, "kind": "title", "text": "03", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.778+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "baf4fe43-291a-4725-af82-d028a4652e75", "parentComponentId": null }, { "bbox": { "h": 0.078, "w": 0.308, "x": 0.035, "y": 0.208 }, "kind": "title", "text": "AI AND WORK", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.778+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "de7a2a39-0bc9-4093-86ba-a3c2ea9c7857", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "711ed053-56f3-4957-b683-0039dbf44ef4", "evidence": "", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 1, "extraction": { "at": "2026-07-16 21:31:38.466706+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 18, "type": "analysis", "title": "The slide presents two stacked bar charts comparing AI usage expectations versus AI replacement expectations.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 467, "nDataPoints": 10, "notes": "The slide presents two stacked bar charts comparing AI usage expectations versus AI replacement expectations.", "elementsJson": [ "headline_text", "paragraph", "bar_chart_stacked" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.398+00", "seconds": 2.297, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/18", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-18", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.45, "x": 0.52, "y": 0.05 }, "kind": "chart", "text": "Q: Thinking about job roles like your current one, to what extent do you think AI technologies will (i) be used in (ii) replace job roles like yours in the next 3 to 5 years?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a326116c-83c4-4641-a009-3ec77a6c3f55", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Worker expectations of AI impact: 71%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-aa2f63c98394", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.42, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "Workers' views on AI's impact on their jobs are still taking shape. Only 7% think roles like theirs will be mostly or completely replaced by AI in the next 3-5 years...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5612cb7a-c79d-44a1-b003-ffa882695f3e", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.23, "x": 0.74, "y": 0.87 }, "kind": "source-note", "text": "Base: All UK adults 16+ who are in work (n=2,506). March 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2469b0f8-7a1e-48e8-82f0-bde598dcf363", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Job replacement and support", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "381c6da7-8f17-40f6-bdb0-a366e02c43c0", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "cbcb05bb-98e9-466c-884b-f8b16b4f5e35", "evidence": "chart/bar-stacked: Q: Thinking about job roles like your current one, to what extent do you think AI technologies will (i) be used in (ii) replace job roles like yours in the next 3 to 5 years?", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:31:38.545586+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 19, "type": "analysis", "title": "Data source: Ipsos, March 2024. Base: All UK adults 16+ who are in work or looking for work (n=2,681).", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 6, "textChars": 1412, "nDataPoints": 6, "notes": "Data source: Ipsos, March 2024. Base: All UK adults 16+ who are in work or looking for work (n=2,681).", "elementsJson": [ "headline_text", "paragraph", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.196+00", "seconds": 3.073, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/19", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-19", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Without concerted efforts to upskill underserved groups, there is a real danger that AI could exacerbate existing inequalities in the workforce.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-cd9060571320", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "chart", "text": "Confidence in having the skills needed to use AI in current or desired job role (% confident)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.196+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "72e5bd13-a8f1-4270-a25a-3e2ca92a46bf", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Confidence in AI skills: 36%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-d33421160939", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "For AI to benefit all of society, people need to feel confident using it, both in their daily lives and at work. Currently, workers and jobseekers are almost evenly split between those who feel confident they have the skills to use AI in their jobs and those who don't (36% versus 40%). This confidence gap is wider among certain groups, reflecting the overall pattern of differences relating to AI: men are more confident than women, graduates more than non-graduates, and Londoners more than average. The demographic gaps are even starker when it comes to AI knowledge. Among those who say they know at least a fair amount about AI, confidence in work-relevant AI skills is almost five times higher than among those with less AI knowledge (63% vs. 13%). This highlights a major divide between those well-positioned for the AI transition at work and those at risk of being left behind. Without concerted efforts to upskill underserved groups, there is a real danger that AI could exacerbate existing inequalities in the workforce.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.196+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be9d9143-9f0a-457b-ae2b-ac18d237002a", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.65, "y": 0.85 }, "kind": "source-note", "text": "Base: All UK adults 16+ who are in work or looking for work (n=2,681). March 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.196+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e8fd20d2-6b4f-4213-b6ab-ccc35b6c13e0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Developing the skills needed for AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.196+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a48287cc-1984-4bc1-a302-688c290f3c23", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "71e36dc6-89fd-47ee-bf7d-a7e473a2a494", "evidence": "paragraph/paragraph: For AI to benefit all of society, people need to feel confident using it, both in their daily lives and at work.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:31:38.625686+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 20, "type": "tension", "function": "frame_problem", "rawType": "problem_statement", "block": null, "metadata": { "slideType": "problem_statement", "slideTypeCanon": { "name": "Problem statement", "slug": "problem_statement", "status": "active", "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 52, "componentCount": 5, "textChars": 1331, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.316+00", "seconds": 3.182, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/20", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-20", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "The skills divide is a particular concern in the UK because so many businesses are small and medium-sized enterprises (SMEs).", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-37f93ad0ff0b", "parentComponentId": null }, { "bbox": { "h": 0.9, "w": 0.5, "x": 0.5, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.316+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2cbd04e0-39ac-4c19-a2f6-ba51048a3105", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.25 }, "kind": "paragraph", "text": "The skills divide is a particular concern in the UK because so many businesses are small and medium-sized enterprises (SMEs). While AI has the potential to boost productivity, many SMEs are likely to face significant challenges in building their own AI capabilities and providing staff training, given limited resources and expertise. The AI skills gap among workers, especially those from less advantaged backgrounds, could make it even harder for SMEs to adopt AI technologies effectively. Clear guidelines, use cases and alignment with key international markets are crucial for SMEs to use AI responsibly and efficiently. SMEs will need targeted support, which could include providing access to shared AI resources and expertise; offering tailored training programs for staff at various skill levels; and developing guidance on managing the workforce implications of AI, such as addressing potential job displacement and building a culture of continuous learning. Policymakers will need to work closely with SME- and sector-representatives to understand their unique needs and challenges around AI adoption.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.316+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d88b167f-0c75-4409-80c4-238568351186", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.25, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.316+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "121c4823-214d-4d7e-8e47-84abe165bab0", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Challenges and opportunities for employers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.316+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "601b704d-82ae-4cdc-84c4-9eceb25b8ff9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 21, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 52, "componentCount": 5, "textChars": 1345, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.757+00", "seconds": 2.606, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/21", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-21", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.868, "w": 0.214, "x": 0.036, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0eef1e4c-7618-40de-8003-9b69c8ce532a", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.22, "x": 0.515, "y": 0.268 }, "kind": "paragraph", "text": "Of course, some job displacement from AI is inevitable, and support will be needed for those affected. The government, businesses and education providers will need to work together to enable effective career transitions, including moving into newly created AI-related roles. Engaging workers directly in shaping the AI transition will also be important. Establishing AI ethics principles and guidelines in the workplace, developed in consultation with staff, can further boost trust.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0483c55b-6733-4dee-81d7-156b6ffe7062", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.22, "x": 0.275, "y": 0.268 }, "kind": "paragraph", "text": "Employers and policymakers will also need to make significant efforts to upskill the broader workforce for AI. This will involve building a robust evidence base on the specific AI skills needed in different sectors and roles to tailor training to different jobs and knowledge levels. Importantly, upskilling for AI should be framed not just as a necessity but as an opportunity. In the near term, this means emphasising AI's potential to assist with routine tasks and boost productivity, rather than posing a threat to jobs, to help address worker concerns.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f7af5b0-d04a-48f4-a0e2-98d5fbcec760", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.22, "x": 0.755, "y": 0.268 }, "kind": "paragraph", "text": "Preparing the workforce for AI will need to be an ongoing process. As the technology evolves, so too will the skills required to work effectively alongside it. Employers and policymakers will need to commit to continuously assessing and addressing AI skills gaps.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f428cb81-7229-47d6-b25a-b5718f4de6e4", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.44, "x": 0.275, "y": 0.108 }, "kind": "title", "text": "Challenges and opportunities for employers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b369a92b-049d-4945-86db-8adf2f81ab19", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "aafb3985-2dec-4d20-9dc5-31c5ecfd682e", "evidence": "Employers and policymakers will also need to make significant efforts to upskill the broader workforce for AI.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.107867+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "e05e0d10-0468-40c3-bef9-8d7f519241b5", "evidence": "Employers and policymakers will also need to make significant efforts to upskill the broader workforce for AI.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.144829+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 15, "name": "Evidence & Proof", "beatId": "f1ebfba0-522b-410d-b139-fe9901eb360e", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "The deck provides data and key messages on building public trust in AI, job replacement, and support.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 21, "from": 15, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4dbf8276-e3fc-4ada-9ac4-31e2b0167607", "evidence": "The deck highlights the importance of building public trust in AI to mitigate potential risks.", "position": 0, "objective": "What are the consequences of not addressing public concerns about AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:12:16.603041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 22, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 7, "componentCount": 3, "textChars": 62, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "big_number", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.723+00", "seconds": 2.459, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/22", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-22", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.2, "x": 0.55, "y": 0.4 }, "kind": "image", "text": "Neon icon of a judge's gavel and bench", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.723+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7258ae8d-97ef-4e87-a3af-e7fd172f5197", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "REGULATING FOR SAFE AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.723+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "160a9e72-8bdb-436f-a861-1c9117603988", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.05, "y": 0.55 }, "kind": "title", "text": "04", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.723+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b0fcae5-d0d6-4019-acc5-0730e84cb724", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 23, "type": "analysis", "title": "Data source: Ipsos, March 2024. Base: All UK adults 16+ who are in work (n=2,506).", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 65, "componentCount": 6, "textChars": 1045, "nDataPoints": 24, "notes": "Data source: Ipsos, March 2024. Base: All UK adults 16+ who are in work (n=2,506).", "elementsJson": [ "bar_chart_horizontal", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.126+00", "seconds": 2.761, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/23", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-23", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "While hospitals and GPs are seen as more trustworthy, there's less confidence in local councils and the UK government to use AI responsibly.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-6de735a2c00c", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.6, "x": 0.35, "y": 0.2 }, "kind": "chart", "text": "Q: How much do you trust the following to use AI in a (i) responsible (ii) safe way?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.126+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7360dffe-82d4-40a5-b82a-c20b67510305", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public trust percentage: 66%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-732bc2f654d6", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.28, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "As AI technologies rapidly advance, it is crucial that the development and use of these powerful tools is governed by a strong regulatory framework. This is essential to ensure that AI is used safely, ethically, and in ways that benefit society as a whole. However, our findings show that public trust in AI varies depending on who is using it. While hospitals and GPs are seen as more trustworthy, there's less confidence in local councils and the UK government to use AI responsibly. The police fall somewhere in between. This reflects the wider picture of trust we see across different organisations. It emphasises that these existing views will shape public attitudes towards AI's use in various settings.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.126+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c9e24243-d714-4ed1-a0fd-ba8003deaa62", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.75, "y": 0.88 }, "kind": "source-note", "text": "Base: All UK adults 16+ who are in work (n=2,506). March 2024", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.126+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3baa502-b82f-483e-8015-32e19879ee41", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Public trust and safety", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.126+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b5374bad-e5ad-44f2-8447-6ee833a5eef7", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "aa6520eb-0a1f-4d9a-8e26-355af9f9a2b4", "evidence": "chart/bar-stacked: Q: How much do you trust the following to use AI in a (i) responsible (ii) safe way?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 21:30:45.290172+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "60771b01-8f3c-44ce-bbd7-f71bdc74e35b", "evidence": "Public trust percentage: 66%", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.253033+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 24, "type": "setup", "function": "summarize", "rawType": "key_messages", "block": null, "metadata": { "slideType": "key_messages", "slideTypeCanon": { "name": "Key messages", "slug": "key_messages", "status": "active", "canonId": "019de52d-0712-703f-89f5-bda6688faf3f", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 69, "componentCount": 7, "textChars": 1665, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:16.057+00", "seconds": 6.635, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/24", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-24", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Research indicates that transparency and human oversight are key to public comfort with AI use in areas like policing and benefits assessments.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:13+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-f85ea84ba55b", "parentComponentId": null }, { "bbox": { "h": 0.9, "w": 0.25, "x": 0.75, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "82950e64-9468-4ed4-b053-9bdd9485e01c", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.28, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "These differences in trust have significant implications for how AI is rolled out across public services. For the NHS, there is a relatively strong foundation of public confidence to build on. Communicating clearly about how AI is being used to improve patient care, while emphasising the ongoing role of human clinicians, can help maintain this trust. This aligns with the finding that the public is more comfortable with AI in healthcare when used to support rather than replace human expertise and decision-making.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "299ede20-3749-4711-8d13-7ddb63a0103c", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.28, "x": 0.35, "y": 0.18 }, "kind": "paragraph", "text": "However, for local councils and the government, lower levels of trust present a challenge. These organisations will need to work to convince the public that AI will be used safely and ethically. This could involve establishing clear frameworks for AI accountability and oversight, engaging with the public to understand and address their concerns, and being transparent about how AI systems are being deployed. Research indicates that transparency and human oversight are key to public comfort with AI use in areas like policing and benefits assessments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f6a9adc-dd06-4e57-82b8-80a9be912442", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.28, "x": 0.65, "y": 0.18 }, "kind": "paragraph", "text": "The police will also need to carefully consider how they communicate about AI use, given the sensitivities around law enforcement. Building robust safeguards against unfair outcomes and allowing for public scrutiny of AI policing tools will be key. This responds to public discomfort with AI being used in ways that could worsen existing inequalities.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "90de6fbb-f921-44d6-94e1-a110002d15d0", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ad8c7772-b1ad-482d-b069-73ceb79d7637", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Implications for AI rollout in public services", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:16.057+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "20008bf3-ad30-47bf-8b7a-e5f1799bfe8d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience frame", "slug": "audience-frame", "status": "active", "bestFor": null, "canonId": "2a1eefbd-5be8-4600-898b-49dbfcf73ec8", "version": 1, "bodyDocId": null, "description": "Tools for modelling and segmenting the audience (persona, JTBD, segmentation).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "517243bd-460f-41e6-998e-4de679beba3b", "evidence": "These differences in trust have significant implications for how AI is rolled out across public services.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.36492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "Story Moments", "slug": "story-moments", "status": "active", "bestFor": null, "canonId": "019dd956-ae4e-768d-a18b-108e6cda511e", "version": 1, "bodyDocId": null, "description": "Design key emotional beats: The Shock, The Vision, The Proof, The Choice, The Call", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "e1989d3e-2062-4f27-be48-1b19c404fe8f", "evidence": "The police will also need to carefully consider how they communicate about AI use, given the sensitivities around law enforcement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:30:45.4023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 25, "type": "resolution", "title": "The chart uses a gauge-like visual to represent the 59% of the public who believe regulation is slower than technological progress.", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 6, "textChars": 1422, "nDataPoints": 5, "notes": "The chart uses a gauge-like visual to represent the 59% of the public who believe regulation is slower than technological progress.", "elementsJson": [ "headline_text", "paragraph", "donut_chart", "big_number", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:15.465+00", "seconds": 5.974, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/25", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-25", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "A majority of the UK public (59%) believes that AI regulation is lagging behind the pace of technological change.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-ee0ac4bbe402", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.65, "y": 0.25 }, "kind": "chart", "text": "59% SLOWER", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Gauge", "slug": "gauge", "status": "active", "canonId": "019de52d-0286-709d-a957-ccb6eb2af8b7", "version": 1, "description": null }, "framework": null }, "subkind": "gauge", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "67b591c4-9f1d-4dd8-b053-f07357ab85f0", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public perception of AI regulation pace: 59%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfd-f278d40c6804", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.25 }, "kind": "paragraph", "text": "More broadly, our findings underscore the urgent need for policymakers and regulators to take active steps to build public trust in AI. A majority of the UK public (59%) believes that AI regulation is lagging behind the pace of technological change. Similar proportions believe that the UK Government (60%), international governments (64%), and technology companies (57%) are not doing enough to regulate AI development and use. There are also doubts about global cooperation on AI safety, with 58% sceptical that countries can effectively work together. Despite this, 7 in 10 believe the UK should take a leading role in addressing these issues, suggesting a desire for the UK to set a global example in AI governance. Public concern about the risks of AI, coupled with a lack of confidence in using and understanding it, reveals significant barriers to public acceptance. Convincing the public that the benefits of AI outweigh the potential drawbacks will require demonstrable progress in AI regulation and a clear commitment to addressing public concerns.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ae81d596-6a77-4128-b761-5609d54f8068", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.6, "y": 0.2 }, "kind": "source-note", "text": "Q: To what extent do you think regulation for AI in the UK is keeping pace with developments in AI technologies? Base: All adults 16+ (n=5,098). September 2023", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dbbcb55c-0be7-469c-adb5-130fbb7b1d17", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Addressing concerns through regulation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dea8a571-ae36-4353-a687-66d10477249d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 26, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 3, "textChars": 39, "nDataPoints": 0, "notes": null, "elementsJson": [ "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.319+00", "seconds": 2.818, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/26", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-26", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.433, "w": 0.215, "x": 0.578, "y": 0.333 }, "kind": "image", "text": "Neon question mark graphic", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc8637a2-52aa-407d-accf-de0421a2b03d", "parentComponentId": null }, { "bbox": { "h": 0.167, "w": 0.126, "x": 0.035, "y": 0.55 }, "kind": "title", "text": "05", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "916b8af2-0de8-409a-b9d4-6904f8444496", "parentComponentId": null }, { "bbox": { "h": 0.083, "w": 0.322, "x": 0.035, "y": 0.208 }, "kind": "title", "text": "CONCLUSIONS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "943b1a61-fb41-4905-83fc-5798bd8a0bfc", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 27, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 27, "componentCount": 3, "textChars": 548, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:11.875+00", "seconds": 2.122, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/27", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-27", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "By valuing public opinion and proactively addressing public concerns policymakers, regulators, and businesses can work together to build the essential public trust in AI needed to realise the full potential of AI in a responsible and inclusive way", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcfe-5c62b2815303", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.5, "x": 0.25, "y": 0.35 }, "kind": "paragraph", "text": "By valuing public opinion and proactively addressing public concerns policymakers, regulators, and businesses can work together to build the essential public trust in AI needed to realise the full potential of AI in a responsible and inclusive way", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.875+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "734bce63-7caf-480c-8066-cdb67cac79f5", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:11.875+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "135415c7-7506-498b-9e22-d878d0d013c3", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Call to action", "slug": "call-to-action", "status": "active", "bestFor": null, "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c", "version": 1, "bodyDocId": null, "description": "Explicit prescription of what the audience should do next.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4a083275-fd7b-44f9-849b-09a607eb1c00", "evidence": "By valuing public opinion and proactively addressing public concerns policymakers, regulators, and businesses can work together to build the essential public trust in AI needed to realise the full potential of AI in a responsible and inclusive way", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:30:45.551193+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 28, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 3, "textChars": 1410, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:15.322+00", "seconds": 5.48, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/28", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-28", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.533, "w": 0.928, "x": 0.036, "y": 0.333 }, "kind": "list", "text": "1. Develop clear and evolving principles for AI use that prioritise fairness, non-discrimination, privacy protection, and societal well-being\n2. Improve public understanding of AI through transparent communication about its applications, decision-making processes, and benefits\n3. Actively involve the public in shaping AI policies and regulations to bridge the gap between public understanding and the advancement of AI\n4. Work with other countries to create a shared approach to AI governance, with the UK taking a leading role in promoting AI safety\n5. Support responsible AI innovation by funding research and creating safe spaces to test new AI uses\n6. Invest in building dedicated AI regulatory capacity and expertise to keep up with this rapidly changing technology\n7. Provide tailored support and resources for SMEs to adopt AI responsibly and efficiently\n8. Encourage businesses, education providers, and government to work together to develop and integrate AI skills training programs\n9. Regularly assess and address the impact of AI on workforce inequality, particularly for disadvantaged groups", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.322+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f9c1fd5-989d-46cb-8efe-5e314cddbc1b", "parentComponentId": null }, { "bbox": { "h": 0.084, "w": 0.928, "x": 0.036, "y": 0.218 }, "kind": "paragraph", "text": "The findings of this report highlight the complex nature of public attitudes towards AI and the need for proactive measures to build trust and ensure responsible and inclusive AI development. Specifically, they highlight the need for policymakers, regulators, and businesses to collaborate to:", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.322+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "825d016e-3cbf-4fb1-bccd-687383dc3bb7", "parentComponentId": null }, { "bbox": { "h": 0.048, "w": 0.192, "x": 0.036, "y": 0.108 }, "kind": "title", "text": "Conclusions", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:15.322+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b3f1ade3-e0ca-441c-8cf9-ea13be798b69", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "5179e618-c9ef-425b-9540-704c43439115", "evidence": "1. Develop clear and evolving principles for AI use that prioritise fairness, non-discrimination, privacy protection, and societal well-being", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:30:45.624125+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 28, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 22, "name": "Impact & Next Steps", "beatId": "568bb17e-2bfc-49d7-9e45-819ba9d487de", "matchId": "28063c15-8925-4b12-a596-64fa202dbf9f", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 29, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 2, "textChars": 10, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "big_number", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.411+00", "seconds": 2.376, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/29", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-29", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.083, "w": 0.243, "x": 0.035, "y": 0.208 }, "kind": "title", "text": "APPENDIX", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.411+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bda5997c-fd62-4466-b826-eebd5e7e21ce", "parentComponentId": null }, { "bbox": { "h": 0.167, "w": 0.127, "x": 0.035, "y": 0.55 }, "kind": "title", "text": "06", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.411+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8d53a785-92a4-4b92-bf41-d8148f635904", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 30, "type": "appendix", "title": "This is a corporate profile slide introducing the firm's expertise.", "function": "summarize", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 7, "textChars": 1089, "nDataPoints": 1, "notes": "This is a corporate profile slide introducing the firm's expertise.", "elementsJson": [ "headline_text", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:12.89+00", "seconds": 2.611, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/30", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-30", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.083, "w": 0.062, "x": 0.923, "y": 0.898 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1ea71cd9-fed2-4ce8-aa32-379e26e4698a", "parentComponentId": null }, { "bbox": { "h": 0.111, "w": 0.753, "x": 0.036, "y": 0.203 }, "kind": "paragraph", "text": "Ipsos is the leader in social research, evaluation and strategy. Our Public Affairs experts bridge the gap between government and the public, providing robust research and analysis, directly supporting policy development.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "341b8c8b-cf5a-4b15-8523-89ef16a2fc75", "parentComponentId": null }, { "bbox": { "h": 0.111, "w": 0.753, "x": 0.036, "y": 0.437 }, "kind": "paragraph", "text": "We are a team of more than 300 social research, evaluation and policy specialists, each offering expertise in a particular part of the public sector, ensuring we have a detailed understanding of specific sectors and policy challenges.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3df023ee-e062-49fc-b12d-84906f104b1f", "parentComponentId": null }, { "bbox": { "h": 0.074, "w": 0.753, "x": 0.036, "y": 0.576 }, "kind": "paragraph", "text": "This, combined with our methodological and communications expertise, ensures that our research makes a difference for decision makers and communities, driving better policy and practice.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5ba12592-8900-4a91-a9a4-82e6d719ab55", "parentComponentId": null }, { "bbox": { "h": 0.074, "w": 0.753, "x": 0.036, "y": 0.342 }, "kind": "paragraph", "text": "We cover broad issues that shape the delivery of public services in modern society and how to engage the public in the policy-making process.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e0774994-deee-49fb-91f5-ecafb57de216", "parentComponentId": null }, { "bbox": { "h": 0.111, "w": 0.753, "x": 0.036, "y": 0.671 }, "kind": "paragraph", "text": "The challenges facing the UK, and the ambition of the new Government demands a broad research and evidence toolkit. Beyond data collection, we pride ourselves in our ability to translate insights into actions. Overleaf, we provide an overview of the essential tools for maximizing mission impact.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ec1c7f82-8734-4227-90f1-bf2481376d4d", "parentComponentId": null }, { "bbox": { "h": 0.133, "w": 0.306, "x": 0.036, "y": 0.056 }, "kind": "title", "text": "ABOUT IPSOS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:12.89+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b50fc4f9-0dd1-492f-bbbe-e1b2495a0bc5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 31, "type": "appendix", "function": "appendix", "rawType": "appendix", "block": null, "metadata": { "slideType": "appendix", "slideTypeCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-0762-71f8-b564-89ab863301cc", "version": 1, "description": null }, "function": "appendix", "functionCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-138d-750b-83c3-49b4bc7a7a38", "version": 1, "description": null }, "density": "sparse", "densityScore": 14, "componentCount": 3, "textChars": 244, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "bullet_list", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:14.802+00", "seconds": 4.451, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/31", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-31", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 1, "w": 0.5, "x": 0.5, "y": 0 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.802+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "07f4773a-688c-4a7c-a274-b195e5882117", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.4, "x": 0.07, "y": 0.25 }, "kind": "list", "text": "Ipsos Global Trends 2023\nIpsos AI Monitor 2024\nIpsos State of Learning for UK Office Employees 2024\nIpsos: Attitudes Towards AI at Work 2023\nIpsos: Debating Responsible AI – the Expert View 2023\nIpsos: Public Attitudes to AI 2023", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.802+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e50ea77a-70ec-46a9-b00b-179f524dea33", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.07, "y": 0.1 }, "kind": "title", "text": "Further reading", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:14.802+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc8d600d-1e02-4739-84cc-8510b411d4d5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 32, "type": "setup", "title": "The slide describes the methodology for the research report, specifically focusing on the random probability panel used.", "function": "present_framework", "rawType": "appendix_methodology", "block": null, "metadata": { "slideType": "appendix_methodology", "slideTypeCanon": { "name": "Appendix methodology", "slug": "appendix_methodology", "status": "active", "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 80, "componentCount": 8, "textChars": 1393, "nDataPoints": 2, "notes": "The slide describes the methodology for the research report, specifically focusing on the random probability panel used.", "elementsJson": [ "headline_text", "paragraph", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:13.855+00", "seconds": 3.312, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/32", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-32", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "The panel consists of over 25,000 members, recruited using random probability address-based sampling, considered the gold standard in UK survey research.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:15+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcff-983fbb68935b", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.51, "y": 0.263 }, "kind": "image", "text": "Screenshot of the KnowledgePanel website", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e0bc6b3-470b-4452-ae60-ef1b4265afca", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Panel size: 25,000", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 14:06:15+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-edad-70d9-bcff-9c3185eee73a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.24, "x": 0.27, "y": 0.43 }, "kind": "paragraph", "text": "The findings presented in this report are based on responses from two nationally representative samples drawn from the Ipsos UK KnowledgePanel: 5,098 UK adults aged 16+ surveyed between 14-20 September 2023, and 5,150 UK adults aged 16+ surveyed between 21-27 March 2024.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "139cad72-0220-4256-9e5a-18afc6cbd8c9", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.06, "y": 0.62 }, "kind": "paragraph", "text": "To maintain the panel's integrity and inclusivity, Ipsos provides tablets, internet access, and technical support to digitally excluded households, allowing them to participate fully in online research. This eliminates differential mode bias and maximizes the potential of online research to deliver comprehensive insights into UK public opinion.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "14230688-88e6-4817-b5fc-edac0bc666d1", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.06, "y": 0.35 }, "kind": "paragraph", "text": "The panel consists of over 25,000 members, recruited using random probability address-based sampling, considered the gold standard in UK survey research. This approach ensures that every household in the UK has an equal chance of being selected to participate, minimizing bias and ensuring the panel accurately reflects the diverse UK population.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a408ef37-2a21-4d3e-8c95-40961c3ee304", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.06, "y": 0.23 }, "kind": "paragraph", "text": "The research for this report was conducted using the Ipsos UK KnowledgePanel. As the UK's largest online random probability panel, it provides a robust and representative sample of the population.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea7214ac-0483-431f-ae39-61d4d0deb610", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "Ipsos UK KnowledgePanel", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d9600426-4f77-49df-b97b-c89435ac6717", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 33, "type": "setup", "function": "present_solution", "rawType": "initiative_list", "block": null, "metadata": { "slideType": "initiative_list", "slideTypeCanon": { "name": "Initiative list", "slug": "initiative_list", "status": "active", "canonId": "019de52d-0caf-770e-9b91-b99239121f50", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 5, "textChars": 341, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:44:13.381+00", "seconds": 2.71, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a166-f40fca6ba3f1/33", "deck": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1", "deckAnchor": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1#slide-33", "deckJson": "/decks/019dd923-5de0-76bd-a166-f40fca6ba3f1.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.05, "x": 0.92, "y": 0.9 }, "kind": "image", "text": "Ipsos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b241642-5b47-489c-95d8-41dd5f072fa8", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.94, "x": 0.03, "y": 0.14 }, "kind": "list", "text": "Deliberate Research, Strategy and Advisory, Behavioural Science, Evaluation, Communications Research, Trends and Foresight", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8fd8156-02b9-4bf2-bb3e-b8770d8f7dcd", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.94, "x": 0.03, "y": 0.8 }, "kind": "paragraph", "text": "Contact: Michelle Mackie, Nathan Bransden, Steven Ginnis, Chris Hale, Bridget Williams, Michael Clemence", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9159903d-0bbc-47ed-bde8-6deb2d1f6323", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos | Public Trust in AI | September 2024 | Public", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "296af744-779a-4902-8248-6cc183e1102c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.03, "y": 0.05 }, "kind": "title", "text": "How can research and evidence support the AI transition?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:44:13.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5dc1ecb0-ba25-4d46-a748-5addd0985321", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 2, "to": 5, "label": "Situation & Context", "description": "The deck sets the stage with an introduction, key takeaways, and a table of contents." }, { "from": 6, "to": 14, "label": "Problem & Complication", "description": "The deck presents data and key takeaways on public knowledge and use of AI, perceived winners and losers, and nuanced views on AI." }, { "from": 15, "to": 21, "label": "Evidence & Proof", "description": "The deck provides data and key messages on building public trust in AI, job replacement, and support." }, { "from": 22, "to": 28, "label": "Impact & Next Steps", "description": "The deck outlines implications for AI rollout in public services, addressing concerns through regulation, and conclusions." } ], "loops": [ { "from": 15, "to": 21, "label": "Cost Of Inaction", "description": "What are the consequences of not addressing public concerns about AI?" }, { "from": 2, "to": 5, "label": "Golden Circle", "description": "Why is public trust in AI important?" } ] }