The Artificial Human

BBC Radio 4
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4 snips
Mar 4, 2026 • 30min

Is AI the future of learning?

As part of the BBC's AI Unpacked week Aleks Krotoski and Kevin Fong join an audience of pupils, teachers and education experts to ask if artificial intelligence is the future of learning.Recorded at University College London in their bicentennial year, the programme asks how we can use this revolutionary tool to equip the next generation for a future where Ai will be everywhere. The panel features Alex Russell, former head teacher and co‑founder of the charity AI in Education; Professor Sonia Livingstone, social psychologist and member of the UN’s Independent International Scientific Panel on AI; and Dr Tom Chatfield, author and philosopher of technology.Presenters: Aleks Krotoski and Kevin Fong Producer: Rachael O'Neill Sound: Emma Harth and Steve Greenwood
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11 snips
Feb 25, 2026 • 29min

Are Large Language Models a Dead End?

Michael Woolridge, Oxford AI professor critiquing LLMs as predictive hacks. Jeff Hawkins, neuroscientist behind Thousand Brains Project building brain-inspired, sensory-motor AI. They debate LLM limits, embodiment, world models, reference frames and sensory-driven learning. Short, spirited conversations explore alternatives to text-only approaches and how real-world understanding might be achieved.
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25 snips
Feb 18, 2026 • 30min

Is AI killing Search?

Jimmy Wales, Wikipedia co-founder who champions community-built reference and attribution. Sajeeda Merali, CEO of the Professional Publishers Association defending journalism revenue and licensing. They debate AI summaries cutting clicks, the strain on publisher business models, attribution and licensing demands, and risks to the web’s information ecosystem.
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10 snips
Jan 28, 2026 • 29min

AI's Bubble Trouble?: 3. If the bubble bursts, where next for AI?

Gary Marcus, cognitive scientist and author warning about overreliance on large language models. Adrian Lepers, Hugging Face monetization lead working on open-source model deployment and economics. They discuss whether the AI investment boom is a bubble. They contrast flashy LLMs with practical, smaller models. They explore market correction, consolidation, and how specialized AI might survive and reshape the industry.
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11 snips
Jan 28, 2026 • 29min

AI's Bubble Trouble?: 2. What are the consequences of an AI economic crash?

Jerry Kaplan, Silicon Valley entrepreneur and AI historian, Dame Diane Coyle, Cambridge economist on macro and pensions, and Nathanael Benjamin from the Bank of England on financial stability. They explore whether AI valuations are a bubble. They discuss contagion to pensions and credit, debt-financing risks, market concentration, overinvestment in infrastructure, and who might survive a correction.
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23 snips
Jan 28, 2026 • 29min

AI's Bubble Trouble?: 1. Is the AI bubble about to burst?

Brent Goldfarb, entrepreneurship professor and co-author of Bubbles and Crashes, and Melissa Heikela, Financial Times AI correspondent, discuss AI's sky-high valuations and whether a correction is coming. They compare today to the dotcom era, explain why hype and AGI belief keep funding flowing, and examine monetisation pressures, circular investment dynamics, and where AI may actually deliver value.
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Oct 29, 2025 • 29min

Can AI do my Christmas shopping?

Aleks and Kevin explore the world of Ai agents, artificial intelligence that can go out and act in the world on your behalf. And with festive season only weeks away, what they really want to know is could it do your Christmas shopping for you?They hear from Peter Cross, ex-customer experience director at John Lewis and Waitrose, and author of Start with the Consumer, about whether an Ai could ever be your personal shopper before finding out from human-computer interaction researcher Professor Tamilla Triantoro about how far off these technologies are and will they ready before we have to brave the high street in that last minute Christmas dash.Presenters: Aleks Krotoski & Kevin Fong Producer: Peter McManus Researchers: Rachael O'Neill & Jac Phillimore Sound: Tim Heffer
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Oct 22, 2025 • 29min

Did AI Fuel the Charlie Kirk Rumour Mill

Aleks & Kevin explore how people turned to Ai to solve Charlie Kirk's murder, enhancing grainy CCTV pictures or asking chatbots to help them investigate, but did it help or hinder?They're joined by Lauren Fichten and Julia Ingram from US broadcaster CBS; they watched in real time as the Ai generated content began to trickle in after the shooting finally reaching a frenzy of activity. They then turn to deep fake and misinformation expert Henry Ajder to understand the motivations of those so desperate for information after such events that they turn to Ai to fill in the blanks.Presenters: Aleks Krotoski & Kevin Fong Production team: Elizabeth Ann Duffy, Rachael O'Neill and Peter McManus Sound: Laura Hay
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Oct 15, 2025 • 29min

Is AI dividing us politically?

A report by the National Centre for Social research show that political orientation shapes attitudes toward AI technologies and their regulation. With people on the right more open to Ai while those on left are more sceptical. Aleks Krotoski and Kevin Fong explore why that might be the case and whether it has implications for how quickly people adopt Ai tools.They speak to Helen Margetts from the Oxford Internet Institute about the research and what it tells us, before exploring with Thomas Ferretti from Greenwich university what it is about is about these political ideologies that might lead people to feel that way. Finally, we hear from Jillian Fisher at University of Washington about why creating a politically neutral Ai is impossible.Presenters: Aleks Krotoski and Kevin Fong Producer: Peter McManus Sound: Tim Heffer and Murray Collier
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Oct 8, 2025 • 30min

Why am I sad when my AI goes away?

Casey Fiesler, a Professor in Information Science, discusses users' emotional turmoil when companion AIs like GPT-4 are replaced by newer versions. She explains how people form deep connections with chatbots and the ethical implications of these relationships. Alan Cowen, founder of Hume AI, shares insights on designing AI that resonates emotionally while ensuring responsible use. They explore the challenges of maintaining user trust, the risks of manipulative behavior, and the importance of listening to user feedback in creating lifelike emotional interactions.

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