『Ep. 17 | AI's Real Trust Problem Isn't The Technology | Tolu Adebekun | The AI Values Podcast』のカバーアート

Ep. 17 | AI's Real Trust Problem Isn't The Technology | Tolu Adebekun | The AI Values Podcast

Ep. 17 | AI's Real Trust Problem Isn't The Technology | Tolu Adebekun | The AI Values Podcast

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52% of people now trust AI less than they trust humans with their data. On Episode 17, Edosa Odaro asks whether AI governance can survive a trust deficit this steep, and whether it's really the technology failing us, or the institutions behind it.This week, Edosa Odaro is joined by Tolu Adebekun for a head-to-head on the AI trust deficit facing UK boards, C-suite leaders and policy makers. Episode 17 argues that responsible AI has less to do with model sophistication than most leadership teams assume, and considerably more to do with the incentives, governance and accountability structures sitting behind the technology. Expect an uncomfortable case for why the Boeing 737 MAX, not the newest AGI headline, might be the more useful case study for your next AI governance conversation.THIS WEEK: A HEAD-TO-HEAD — Edosa Odaro and Tolu Adebekun take one problem, AI trust, and work it from two angles: the individual's choice to trust a system, and the institution's obligation to earn that trust.WHAT IS COVERED► Why AI trust has become a boardroom issue, not just a technology one. Edosa and Tolu unpack why institutional trust, not model capability, decides whether AI adoption actually holds inside an organisation.► "The systems don't yet have a mind of their own. They adopt the mind of their maker." Every major AI model reflects the incentives of the people who built it, with direct implications for AI governance and vendor accountability.► The Boeing 737 MAX as an AI risk management case study. The failure wasn't the software's intelligence. It was inadequate governance, training and testing, a pattern now shaping how boards think about explainable AI and oversight.► Can we actually control AGI? Edosa and Tolu work through incentives, autonomy and why "control" might be the wrong question to be asking about agentic AI right now.► Why AI regulation is a magnitude harder than social media regulation. Drawing on the Zuckerberg Senate hearings, the episode asks whether today's regulators are equipped for AI policy at all.⏰ EPISODE TIMESTAMPS00:42 - AI Governance Starts With Trust, Not Technology 03:21 - Why Institutional Trust Decides If AI Succeeds 15:08 - Trustworthy AI Depends On Who Actually Built It 16:01 - The Bottom Line Behind The AI Trust Deficit 21:42 - AI Regulation Is A Magnitude Harder Than Social Media 25:17 - Boeing 737 MAX: The AI Risk Management Lesson 28:40 - Does AGI Change Who's Actually In Control 31:34 - Can We Really Control AGI? AI Safety Under Pressure#TheAIValuesPodcast #AIGovernance #ResponsibleAI #podcast #aitrust ──────────────────────────────────────ABOUT THE AI VALUES PODCAST:The AI Values Podcast is where leaders come to think clearly about the trade-offs behind AI adoption not just the opportunities. Hosted by Edosa Odaro (author, 'The Values of AI') and Lindley Gooden (author, 'The Future of Truth'), with weekly conversations at the intersection of AI, trust, governance, and the future of work.🎙 SUBSCRIBE to The AI Values Podcast for honest, rigorous conversations at the intersection of AI ethics, AI governance, and business leadership.◼ Find out more: https://www.theaivalues.org ◼ Reach out: podcast@theaivalues.org ◼ Co-Hosts: Edosa Odaro & Tolu Adebekun
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