{ "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea", "docSlug": "dd91c78f6570bf29", "documentTitle": "2023 Air Street Capital The State of AI Report 2023", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 123, "pageCount": 163, "prevPage": 122, "nextPage": 124, "slideType": "industry_trends", "function": "summarize", "density": "balanced", "nDataPoints": 1, "notes": "The slide discusses the evolving regulatory stance of the UK and India regarding AI.", "elementsJson": [ "headline_text", "bullet_list" ], "metadataConfidence": 0.9, "imagePath": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/123", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea", "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea.json", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-123", "components": [ { "bbox": null, "kind": "callout", "text": "Represented by the UK and India, this approach operates on the basis that AI does not currently require any additional legislation.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd952-47c4-7719-a22c-eb6d41d7d6c2", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.7, "w": 0.95, "x": 0.02, "y": 0.22 }, "kind": "list", "text": "Represented by the UK and India, this approach operates on the basis that AI does not currently require any additional legislation.\nSo far, both the UK and India have stressed the economic and social upside of AI, with the March 2023 white paper and a parliamentary response from India’s digital minister arguing that any current risks could be absorbed by current sectoral regulations and privacy legislation.\nThe UK did, however, include some AI principles (grounded in similar work from the OECD) for regulators to follow and invested an initial £100M in a taskforce focused on frontier model safety, led by SOAI co-author Ian Hogarth. The team appears to be a world-first, in attempting to built a dedicated unit drawing on industry and academia to assess risk at the frontier,\nThe UK also secured a special agreement with Google DeepMind, Anthropic, and OpenAI to gain early access to their most advanced frontier models to improve their understanding of risk.\nWhile popular with industry, it is unclear if these approaches will survive. Recently the UK Government dropped “light-touch” from its vocabulary and has repositioned itself as the home of the AI safety debate.\nThe Indian Ministry of Electronics and Information Technology has now said forthcoming legislation may indeed cover some forms of AI harms, alongside web3 and other technology.", "attrs": null, "subkind": "bullet", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "bf82f34e-2b76-426d-96a8-dfa75eae560c", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.02, "y": 0.14 }, "kind": "title", "text": "“Light-touch” or “pro-innovation”: scepticism of large-scale regulation", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "8806fc51-c555-4ad9-b406-300e005dee07", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "Concrete Language", "slug": "concrete-language", "agent": "Storyteller", "layer": "slide", "matchId": "019dd95a-1055-74e0-a957-d64f4e2ab8af", "evidence": "Names UK and India as the segment archetypes for light-touch.", "confidence": 70 }, { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "agent": "Architect", "layer": "slide", "matchId": "3375937d-2e13-48fb-95ca-1ab3b1e56f8b", "evidence": "“Light-touch” or “pro-innovation”: scepticism of large-scale regulation", "confidence": 0.6 }, { "name": "Storytelling: audience calibration", "slug": "audience", "agent": "storyteller", "layer": "slide", "matchId": "7220d62c-9be8-4dd1-87db-d5229e7662d4", "evidence": "Represented by the UK and India, this approach operates on the basis that AI does not currently require any additional legislation.", "confidence": 0.7 } ], "frameworks": [], "arcBeats": [ { "to": 155, "from": 121, "beatId": "019dd95a-0682-776c-8e35-478c8c58938c", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Implications (So What)", "beatSlug": "triple-take-the-implications-so-what", "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.", "position": 2, "confidence": 78, "parentBeatName": "Reflection", "parentBeatSlug": "reflection" }, { "to": 155, "from": 121, "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a", "arcName": "The Mountain", "arcSlug": "mountain", "beatName": "Climax", "beatSlug": "mountain-climax", "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.", "position": 3, "confidence": 45, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "loops": [ { "to": 127, "from": 122, "name": "Segmentation Split", "slug": "34-segmentation-split", "bestFor": "Customer analysis, market research, resource allocation", "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533", "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.", "position": 12, "objective": "Segment the world into distinct regulatory archetypes", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "confidence": 82, "description": "Divide a whole into meaningful segments to reveal hidden patterns" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }