The AI Values Podcast
What if your organisation's AI strategy rests on a system that doesn't understand the world the way you think it does?Edosa Odaro and Lindley Gooden go head-to-head on Episode 11 of The AI Values Podcast on the debate that is quietly splitting the AI research world in two: LLMs versus world models, pattern recognition versus causal understanding, and the governance question that follows from the answer. This is not a technical forecasting conversation. It is the one your board should have before the next autonomous AI budget line gets signed.WHAT IS COVERED:► "The biggest problem around AI is that we speak about it as if it actually understands the world": why conflating language fluency with genuine understanding is the most dangerous assumption in AI governance, and what world models offer instead ► The transport company case study: an LLM correctly identifies a flood and reroutes an entire fleet, then causes gridlock, because it cannot model the downstream consequence of its own decision ► LLMs are not enough": why Lindley argues that without physical awareness, AI cannot be trusted in medical tech, sports science, or any domain where the real world pushes back ► Do AI systems need arms and legs? Why giving autonomous AI physical form is not an engineering decision but a values question, and why Silicon Valley's race to remove guardrails is precisely the moment human oversight matters most ► "I feel that we're giving human expectations to non-human systems": the framing that redefines AI alignment as a relationship risk, and what that means for every organisation deploying AI at scale ⏰ EPISODE TIMESTAMPS: 00:00 — The AI illusion: mistaking language fluency for genuine understanding 01:06 — LLMs vs world models: what the difference actually means in practice 02:09 — AGI and ASI: which architecture leads to general intelligence? 03:28 — Arms, legs, and autonomy: the embodied AI question nobody wants to answer 04:54 — Case study: the flood, the fleet, and the limits of LLM reasoning 06:35 — Silicon Valley, fewer guardrails, and the autonomy debate 08:03 — Causality, consequence, and what AI needs to understand an ecosystem 09:17 — "We're giving human expectations to non-human systems" 10:20 — Augmentation or transformation? The values-first answer 12:12 — A direct challenge: have this conversation in your own organisationABOUT 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 ◼ Get the Weekly AI Values Dispatch → https://pages.theaivalues.org◼ Hosts: Edosa Odaro [https://www.linkedin.com/in/edosa/] & Lindley Gooden [https://www.linkedin.com/in/lindleygooden/]
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