{ "docId": "019dd923-5de0-76bd-a166-d1449f5bb358", "docSlug": "eea545ea8b88b2ef", "documentTitle": "WHAT THE FUTURE: INTELLIGENCE", "authorId": "misc", "authorName": "Ipsos", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 46, "pageCount": 59, "prevPage": 45, "nextPage": 47, "slideType": "quote_slide", "function": "summarize", "density": "dense", "nDataPoints": 0, "notes": "The slide features a Q&A format followed by a pull-quote highlighting the need for diversity in AI pipelines.", "elementsJson": [ "quote_block" ], "metadataConfidence": 1, "imagePath": null, "slideHref": "/slides/019dd923-5de0-76bd-a166-d1449f5bb358/46", "deckHref": "/decks/019dd923-5de0-76bd-a166-d1449f5bb358", "deckJsonHref": "/decks/019dd923-5de0-76bd-a166-d1449f5bb358.json", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a166-d1449f5bb358#slide-46", "components": [ { "bbox": null, "kind": "callout", "text": "If we're going to fill the pipeline with voices that are distinctive, we have to figure out what it looks like to fairly hire and train and what diversity actually looks like.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd951-fef4-703e-8520-abc778c87cec", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.65, "w": 0.31, "x": 0.04, "y": 0.18 }, "kind": "paragraph", "text": "Carmichael: What are the ethical risks of AI? Hardy: When we look at companies doing responsible innovation and responsible AI, this is an ethos. It goes back to trust. Then you have, “We’re going to move fast, we’re going to lead the way, we’re going to bring innovation to people.” That’s a different ethos. That’s the way technology has always been. Carmichael: That sounds like two very different futures. Hardy: Yes, it’s contingent on the adoption of a specific ethos. If we adopt responsible AI, then we’re going to start talking about UBI [universal basic income] versus if we adopt innovation, what we’re going to see is the rise of agrarian societies because people can’t afford to live in cities. These are alternative futures contingent on what ethos is established and what trust looks like as a result. Carmichael: What if we don’t build trust? Hardy: What is the “prepper” equivalent of an anti-AI society? My concern is that we’re not going to be able to upskill in time. Everybody says AI’s going to take jobs away. In every other industrial revolution, more jobs were created than were lost. Part of this is fear out of a lack of understanding, which is very natural given how complex AI is.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "3ad20cb9-ddee-475f-af17-cba12e232dad", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.65, "w": 0.31, "x": 0.38, "y": 0.18 }, "kind": "paragraph", "text": "Carmichael: What if people’s fear grows, or jobs disappear, and we don’t get UBI? Hardy: We’ll see the growth of personal agriculture and societies that are based on agriculture rather than technology. People are going to go off-grid and become more self-sufficient. The cost of living in cities is pushing people out. Urban decentralization is already happening. All of that is a trust thing. People are just going to want to extract themselves from the system. Carmichael: One way to reduce fear and build trust is to have more voices in the rooms where Ais are created. We know that. How do we do that? Hardy: There are a lot of different things that are going to have to play into solving the bias and data problem. There are technology solutions, social, relational, corporate solutions and enterprise approaches that we can take. If we’re going to fill the pipeline with voices that are distinctive, we have to figure out what it looks like to fairly hire and train and what diversity actually looks like. The beauty is that with the rise of the low-code, no-code movement we can get people who aren’t necessarily experts at math to be a part of the data science or the artificial intelligence pipeline.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "4674d897-e29e-4b41-9507-1c52171bbbd8", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.38, "y": 0.85 }, "kind": "paragraph", "text": "Matt Carmichael is editor of What the Future and head of the Ipsos Trends & Foresight Lab.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "ec651bfe-09b5-4f4f-924b-b93f5f791808", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.71, "y": 0.18 }, "kind": "quote", "text": "If we’re going to fill the pipeline with voices that are distinctive, we have to figure out what it looks like to fairly hire and train and what diversity actually looks like.", "attrs": null, "subkind": "pull-quote", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "a4d0e325-82c6-4cf8-a1f0-5ace35e317c0", "frameworkName": null, "frameworkSlug": null }, { "bbox": null, "kind": "quote", "text": "If we're going to fill the pipeline with voices that are distinctive, we have to figure out what it looks like to fairly hire and train and what diversity actually looks like. - Matt Carmichael", "attrs": null, "subkind": null, "toolName": "Authority citation", "toolSlug": "authority-citation", "confidence": null, "componentId": "019dd951-fef4-703e-8520-ae14e41a6f95", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.03, "w": 0.21, "x": 0.04, "y": 0.05 }, "kind": "title", "text": "WHAT THE FUTURE | Intelligence", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "9d25df6e-81b7-4875-a7ac-825f8233765a", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 59, "from": 37, "beatId": "16806d34-606e-4e89-aca4-49b87cb5ab0d", "arcName": "Problem-Agitate-Solution", "arcSlug": "problem-agitate-solution", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes with a call to action, emphasizing the need for collaboration and responsible AI development.", "position": 3, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "loops": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }