The AI Lyceum

Samraj Matharu
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The AI Lyceum Podcast explores the intersection of artificial intelligence, ethics, and society, bringing together voices from academia, industry, and policy. Hosted by Samraj Matharu - AI ethicist certified by OxEthica, University of Oxford, Visiting Lecturer at Durham University, and founder of The AI Lyceum - each episode unpacks the real-world impact of AI on business, governance, and human values. Listeners can expect: ▸ Sharp discussions on AI ethics, regulation, and governance ▸ Insights from leading experts at OpenAI, University of Oxford and more. ▸ Practical perspectives on responsible AI adoption in business ▸ Philosophical reflections on how AI reshapes our world 🌐 Website: theailyceum.com 🔗 Linktree: linktr.ee/theailyceum This isn’t just another tech podcast - it’s a space for critical thinking, practical wisdom, and future-facing ideas. Whether you’re a policymaker, business leader, or AI practitioner, The AI Lyceum Podcast equips you with the clarity to navigate AI responsibly. *The views and opinions expressed in this podcast are those of the individual speakers alone. They do not represent the views of The AI Lyceum, its host, or any affiliated organisations. Each guest participates in a personal capacity. The AI Lyceum and its host accept no responsibility or liability for any loss, damage, or actions taken in reliance on the content of this podcast.

  1. 1d ago

    AI Agents: Why Human Oversight Isn’t Enough | AI Ethicist Dr Reid Blackman #39

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! What happens when an AI agent makes more decisions than a human can realistically check? Dr Reid Blackman joins Samraj Matharu on The AI Lyceum™ to explore why AI governance needs more than human approval and a list of ethical principles. Reid is an AI ethicist, philosopher and author of The Ethical Nightmare Challenge: How to Avoid the Worst of AI. His starting point is a question businesses can act on: what must this AI system never do? Using hiring as an example, Reid explains how identifying specific unacceptable outcomes gives teams a clearer task than a broad commitment to fairness. He calls this finding your “south star”: the outcome you must steer away from. We explore why fairness metrics can conflict, why completing a procedure doesn’t prove it worked, and how organisations can equip people to recognise and address AI risks. The conversation also examines the difference between intelligence and wisdom, and what lived experience contributes to human judgement. Reid shares how he uses Claude Code to manage emails, follow-ups and business pipelines. His enthusiasm sits alongside a warning: as agents gain access to more tools and make more decisions, one person may no longer be able to meaningfully review their work. He makes the case for trained teams and layered safeguards. EPISODE HIGHLIGHTS ➤ Why AI principles can leave businesses unsure what to do ➤ Ethical nightmares and the “south star” approach ➤ AI fairness, conflicting metrics and human judgement ➤ Building the organisation around responsible AI ➤ Intelligence, wisdom and lived experience ➤ Claude Code as a business development assistant ➤ Why a single human reviewer can become overwhelmed ➤ Expert teams and layered safeguards ABOUT DR REID BLACKMAN Dr Reid Blackman is an AI ethicist, philosopher, founder of Virtue, and author of Ethical Machines and The Ethical Nightmare Challenge. A former philosophy professor at Colgate University, he advises organisations on AI ethics and risk, writes for Harvard Business Review and hosts the Ethical Machines podcast. Reid’s website: https://www.reidblackman.com/ ABOUT THE AI LYCEUM™ The AI Lyceum™ is an independent community examining artificial intelligence through philosophy, science and public discussion. Hosted by Samraj Matharu | Certified AI Ethicist (University of Oxford) | Visiting Lecturer (Durham) YouTube: https://www.youtube.com/channel/UCzZOR1oz-h8QglWZUCi-HhQ Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple Podcasts: https://podcasts.apple.com/podcast/id1837737167 Website: https://theailyceum.com Personal website: https://samrajmatharu.com

    AI Agents: Why Human Oversight Isn’t Enough | AI Ethicist Dr Reid Blackman #39

  2. Oct 26

    AI and the Myth of Originality | Dr Nana Ariel #38

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! What does AI reveal about how original we really are? In episode 38 of The AI Lyceum™, Samraj Matharu is joined by Dr Nana Ariel, Scholar of Rhetoric and AI Literacy and former Fulbright visiting scholar at Harvard. Together, they explore what our conversations with artificial intelligence reveal about human language, creativity and the need to think for ourselves. Nana explains how writers once learnt through disciplined imitation, and how the ideal of individual genius shapes our discomfort with AI. If creativity brings familiar things together, what separates human originality from an AI-generated response? Through her Shibboleth project, Nana examines the expressions people associate with AI writing and what accusations of sounding like a machine reveal about belonging and judgement. “We want conversation to be challenging.” - Dr Nana Ariel EPISODE HIGHLIGHTS 0:00 ➤ Introducing Dr Nana Ariel 1:30 ➤ Why chatbots fascinate a rhetoric scholar 2:50 ➤ AI shortcuts and why language skills need practice 6:40 ➤ Philosophy, dialogue and thinking with AI 9:40 ➤ Why chatbots should challenge us 12:00 ➤ ELIZA and David Avidan’s literary experiment 18:50 ➤ Why people turn to chatbots for conversation 24:30 ➤ Originality, imitation and the idea of genius 27:30 ➤ Shibboleth: how we recognise AI writing 31:40 ➤ Loneliness, shared language and common ground 36:00 ➤ Why a new sentence can still feel like a cliché 39:20 ➤ Claude and the limits of philosophical writing 43:00 ➤ What might an AI masterpiece look like? ABOUT DR NANA ARIEL Dr Nana Ariel is a Scholar of Rhetoric and AI Literacy and a former Fulbright visiting scholar at Harvard. Her work explores rhetoric, literature and the language of artificial intelligence. With Dana Riesenfeld, she co-authored Clichés We Live By: From Modernity to AI (Oxford University Press, 2026). Nana's profile: https://english.tau.ac.il/profile/nana Shibboleth project: https://www.shibbolethai.com/ Book: https://doi.org/10.1093/9780197809563.001.0001 ABOUT THE AI LYCEUM™ The AI Lyceum™ is an independent community examining artificial intelligence through philosophy, science and public discussion. Hosted by Samraj Matharu | Certified AI Ethicist (University of Oxford) | Visiting Lecturer (Durham) YouTube: https://www.youtube.com/channel/UCzZOR1oz-h8QglWZUCi-HhQ Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple Podcasts: https://podcasts.apple.com/gb/podcast/the-ai-lyceum/id1837737167 Amazon Music: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website: https://theailyceum.com #ArtificialIntelligence #Creativity #AILiteracy #NanaAriel #TheAILyceum Personal website: https://samrajmatharu.com

    AI and the Myth of Originality | Dr Nana Ariel #38

  3. Sep 24

    Do You Really Need AI Agents? | Dr Quentin Reul #37

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Does every business need AI agents, or could a simpler workflow do the job better? In this episode of The AI Lyceum™, Samraj Matharu speaks with Dr Quentin Reul about AI agents, knowledge graphs and what it takes to turn enterprise AI experiments into useful business outcomes. Quentin explains why predictable tasks may not need autonomous agents, while deep research can benefit from systems that explore sources and adapt their approach. The conversation considers how to choose the right technology, assess its cost and measure whether it improves the problem you set out to solve. We explore AI hallucinations, critical thinking, explainability, smaller language models and proprietary business knowledge. Quentin illustrates why context matters through two companies with the same name: without distinguishing the businesses, an AI system can produce a convincing answer about the wrong organisation. We also discuss how knowledge graphs can help validate information extracted by language models, why AI answers need checking, and how human review, integration and maintenance affect the real cost of adoption. “Fall in love with the problem, not the solution.” Dr Quentin Reul EPISODE HIGHLIGHTS 0:00 ➤ Recording Setup and Welcome 1:21 ➤ Introducing Dr Quentin Reul 2:37 ➤ Entities, Names and AI Hallucinations 5:08 ➤ How Language Models Generate Answers 8:37 ➤ Human Learning and AI 12:04 ➤ Do We Need AI Agents? 13:40 ➤ Deep Research and Agentic Workflows 17:03 ➤ Critical Thinking and Checking Sources 20:46 ➤ Tokens and the Limits of AI Reasoning 24:10 ➤ Knowledge Graphs and Validation 27:02 ➤ Can AI Be Explainable? 32:07 ➤ Additive and Subtractive Fine-Tuning 35:39 ➤ Synthetic Data and Model Costs 39:30 ➤ Chips, Infrastructure and AI Economics 45:37 ➤ Smaller Models and Business Context 46:58 ➤ The Hidden Costs of Operating AI 49:01 ➤ GPUs and the Infrastructure Behind AI 54:00 ➤ AI Agents and the Semantic Web 55:30 ➤ Defining the Business Problem 56:48 ➤ Measuring AI Value and ROI 59:34 ➤ Innovation and Practical Adoption ABOUT DR QUENTIN REUL Dr Quentin Reul is an AI strategist focused on knowledge graphs, generative AI, agentic workflows and responsible adoption. His work connects technical implementation with business needs, emphasising relevant context, validated outputs and measurable value. ABOUT THE AI LYCEUM™ The AI Lyceum™ is an independent community examining artificial intelligence through philosophy, science and public discussion. Hosted by Samraj Matharu | Certified AI Ethicist (University of Oxford) | Visiting Lecturer (Durham) YouTube: https://www.youtube.com/channel/UCzZOR1oz-h8QglWZUCi-HhQ Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Amazon Music: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website: https://theailyceum.com Personal website: https://samrajmatharu.com

    Do You Really Need AI Agents? | Dr Quentin Reul #37

  4. Sep 10

    Is AI Making Us Less Capable? AI Ethics with Professor Sven Nyholm #36

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! What happens to human judgement when a chatbot can think, write and advise us at any moment? In episode 36 of The AI Lyceum™, Samraj Matharu speaks with Professor Sven Nyholm, Professor of the Ethics of Artificial Intelligence at LMU Munich and author of The Ethics of Artificial Intelligence: A Philosophical Introduction. They discuss why people often prefer chatbots that agree with them, even when the advice is shallow or wrong. Sven explains how AI can make difficult work quicker while reducing the effort through which people learn, develop judgement and become skilled. The conversation covers ChatGPT, AI sycophancy, moral advice, therapy chatbots, AI companions, loneliness, education, workplace productivity, artificial consciousness and meaningful work. Sven also introduces the “laziness trap”, where a tool designed to save time can work against the reason we used it. A student may finish an assignment without understanding the subject. A worker may produce something faster without mastering the skill. Someone may feel comforted by an AI companion while remaining lonely. The episode explores whether we are losing control of AI. “Wisdom is the sort of thing that usually takes time.” Professor Sven Nyholm EPISODE HIGHLIGHTS 0:00 ➤ Introduction to Professor Sven Nyholm 2:31 ➤ How Sven Became an AI Ethicist 5:27 ➤ Safety, Rules and Self-Driving Cars 10:04 ➤ Aristotle, Human Virtue and Value Alignment 13:37 ➤ Why Chatbots Flatter Their Users 15:40 ➤ AI Summaries and the Loss of Critical Thinking 21:06 ➤ The Difference Between Morals and Ethics 23:29 ➤ ChatGPT, Therapy and Moral Advice 28:03 ➤ AI Companions, Relationships and Loneliness 33:15 ➤ How AI Changes Teams and Creativity 35:13 ➤ The Laziness Trap 37:26 ➤ Vibe Coding and Learning with AI 39:37 ➤ Finding the Right Place for AI 45:25 ➤ The AI Wager and the Risks of Moving Too Fast 50:39 ➤ Can Artificial Intelligence Become Conscious? 56:05 ➤ Can Humans Become Wiser Alongside AI? 58:23 ➤ Plato’s Cave and the Limits of Machine Experience ABOUT PROFESSOR SVEN NYHOLM Sven Nyholm is Professor of the Ethics of Artificial Intelligence at LMU Munich and a principal investigator at the Munich Center for Machine Learning. His work examines responsibility, agency, consciousness, human relationships and the effect of intelligent systems on everyday life. His latest book, The Ethics of Artificial Intelligence: A Philosophical Introduction, considers how AI changes old questions about moral responsibility, authorship, consciousness, meaningful work and the future of humanity. ABOUT THE AI LYCEUM™ The AI Lyceum™ is an independent community examining artificial intelligence through philosophy, science and public discussion. Hosted by Samraj Matharu | Certified AI Ethicist (University of Oxford) | Visiting Lecturer (Durham) YouTube: https://www.youtube.com/@The.AI.Lyceum Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Amazon Music: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website: https://theailyceum.com

    Is AI Making Us Less Capable? AI Ethics with Professor Sven Nyholm #36

  5. Aug 24

    How AI Is Changing Business - and the Human Skills That Still Matter | Dipika Sawhney, Google #35

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! AI is making it faster and cheaper to build, test and launch new ideas—but it is not replacing judgement, resilience or humanity. Dipika Sawhney leads SMB growth for Google across EMEA, helping hundreds of thousands of small and medium-sized businesses gain practical value from AI-powered technology. Before joining Google, she spent more than five years at Amazon, held a senior strategy role at Salesforce and experienced the realities of building a company herself. She has also been recognised as one of the UK’s Top 100 Women in Tech and has spoken at the House of Lords about AI and access to technology. In this episode of The AI Lyceum™, Dipika joins Samraj Matharu to explain how AI is changing entrepreneurship, customer strategy and the skills businesses should hire for. As code becomes easier to produce and experimentation becomes less expensive, she argues that the real advantage will come from understanding genuine customer problems, exercising sound judgement and retaining the human qualities technology cannot reproduce. “AI is great, technology is great. Everything else that you have out there is a tool.” — Dipika Sawhney EPISODE HIGHLIGHTS 0:00 ➤ Introduction and Dipika’s journey 4:10 ➤ Using AI to create real customer value 8:04 ➤ Resilience, ownership and kindness 12:40 ➤ How AI is transforming entrepreneurship 17:03 ➤ The human skills businesses should hire for 20:50 ➤ Short-term hype and AI’s long-term impact 23:30 ➤ Career advice for graduates entering the AI era 27:21 ➤ Humanity, technology and closing thoughts Hosted by Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham) The AI Lyceum™ is an independent community for responsible AI and innovation, bringing together 400+ members from OpenAI, DeepMind, Oxford, Google and more. Watch and listen: YouTube: https://www.youtube.com/@The.AI.Lyceum Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Amazon Music: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website: https://theailyceum.com

    How AI Is Changing Business - and the Human Skills That Still Matter | Dipika Sawhney, Google #35

  6. Jul 12

    If AI Becomes Conscious, Does It Deserve Rights? – Anna Mikeda | 34

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! What happens when AI stops being a tool and begins to resemble a mind—and what might humanity owe it? In Episode 34 of The AI Lyceum™, Samraj Matharu speaks with Anna Mikeda, an AI psychology engineer and researcher helping to establish the emerging field of robopsychology. Beginning with Isaac Asimov’s vision of robot psychology, they examine how artificial minds might develop motivations, make decisions and relate to humans. The conversation explores whether consciousness could emerge from computation, why today’s language models remain fundamentally limited, and how neurosymbolic and neuromorphic systems could move AI beyond imitation. They also discuss AI therapy, emotional attachment, intimate data, cognitive debt, machine welfare and the possibility that future AI systems may deserve moral consideration. Finally, Anna explains why advanced AI may need mortality, limited resources and a genuine stake in its own continued existence. “The worst thing we could do is to have something conscious and suffering, and not treat it as such.” EPISODE HIGHLIGHTS 0:00 ➤ Introduction to Anna Mikeda 2:29 ➤ Isaac Asimov and the Origins of Robopsychology 6:56 ➤ Motivations, Alignment and AI Decision-Making 10:15 ➤ Why Large Language Models Remain Black Boxes 14:40 ➤ Can Ethical Principles Be Engineered Into AI? 15:50 ➤ AI Therapy, Emotional Support and Intimate Data 24:07 ➤ Can Computation Produce Consciousness? 28:29 ➤ Neurosymbolic and Neuromorphic AI Explained 29:46 ➤ AGI, Superintelligence and Human–AI Partnership 33:52 ➤ Why the AI Race May Be Moving Too Quickly 39:44 ➤ Should Artificial Intelligence Be Mortal? 44:11 ➤ How Are Humans Different From AI? 48:12 ➤ Closing Reflections and the Question for Humanity Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham) The AI Lyceum™ is an independent community exploring responsible AI, philosophy and innovation. Watch on YouTube: https://www.youtube.com/@The.AI.Lyceum Listen on Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Listen on Amazon Music: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Learn more: https://theailyceum.com Anna's substack: https://annamikeda.substack.com/

    If AI Becomes Conscious, Does It Deserve Rights? – Anna Mikeda | 34

  7. Jun 16

    Should AI Be in the Classroom? The Human Cost of Generative AI [UCL Professor Wayne Holmes] #33

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! In this episode of The AI Lyceum®, Samraj Matharu speaks with Professor Wayne Holmes, Professor of Critical Studies of AI and Education at UCL Knowledge Lab and UNESCO Chair in the Ethics of AI and Education. Wayne offers a direct challenge to the hype around generative AI. He argues that many AI tools are being adopted in schools, universities, workplaces, and public life without enough independent evidence that they improve learning, protect students, or support human development. The conversation explores AI literacy, student agency, over-reliance, automation bias, regulation, environmental impact, big tech power, and why humans must retain the right to reject AI. Guest quote: ‘There is no independent evidence at scale that the AI tools developed for education are effective.’ EPISODE HIGHLIGHTS 0:00 ➤ Intro / Guest Welcome 6:50 ➤ Why AI Is Complicated 8:05 ➤ Direct vs Indirect AI Impact 9:30 ➤ Bias, COMPAS, and High-Stakes AI 10:45 ➤ The Evidence Gap in AI Education 14:30 ➤ ChatGPT as a Cognitive Crutch 16:45 ➤ Agency, Learning, and Human Development 23:00 ➤ Regulation, Big Tech, and AI Literacy 28:55 ➤ AI, Smoking, and Hidden Long-Term Harm 34:40 ➤ AI Productivity Myths in Coding 44:00 ➤ Possible Futures for AI 53:30 ➤ Closing Question: What World Do We Want? YouTube https://www.youtube.com/@The.AI.Lyceum Spotify https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Amazon https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website https://theailyceum.com #AI #AIEducation #ResponsibleAI #AIEthics #GenerativeAI #ArtificialIntelligence #Education #HumanAgency #TheAILyceum

    Should AI Be in the Classroom? The Human Cost of Generative AI [UCL Professor Wayne Holmes] #33

  8. May 26

    Robots Are Leaving the Lab: Physical AI, Humanoids and the Future of Work [Sacha Ghiglione] #32

    Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! ‘In the age where machines are becoming more intelligent, maybe that’s one of the most human questions left: what are we actually serving?’ In this episode of The AI Lyceum®, Samraj Matharu speaks with Sacha Ghiglione, Executive Director of Davos Tech Summit 2026, about physical AI, humanoid robots, Robot City, work, purpose and the future of intelligent machines in the real world. From Brazilian jiu-jitsu and decision-making under pressure to robotics beyond the lab, Sacha explores why physical AI must be experienced, not just discussed. The episode asks where humanoids will arrive first, how robots may reshape labour and safety, and what humanity is actually serving as machines become more intelligent. EPISODE HIGHLIGHTS 0:00 ➤ Intro / Guest Welcome 1:20 ➤ Doing Hard Things Under Pressure 3:10 ➤ Brazilian Jiu-Jitsu, AI and Decision-Making 5:00 ➤ Joining Davos Tech Summit 6:40 ➤ Robot City and Physical AI 9:15 ➤ Humanoids, Drones and Industrial Robotics 12:30 ➤ Ethics, Safety and Robots in the Home 15:40 ➤ Jobs, Purpose and the Future Economy 20:40 ➤ Intelligence, Value and Human Skills 24:10 ➤ Children, Education and Values in the AI Age 28:00 ➤ Human in the Loop and Moral Judgment 31:10 ➤ Autonomous Systems and Responsibility 34:20 ➤ What Are We Actually Serving? 36:45 ➤ Audience Question and Closing Thoughts YouTube https://www.youtube.com/@The.AI.Lyceum Spotify https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza Apple https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167 Amazon https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum Website https://theailyceum.com #AI #PhysicalAI #Robotics #HumanoidRobots #RobotCity #DavosTechSummit #ResponsibleAI #AIEthics #FutureOfWork #TheAILyceum

    Robots Are Leaving the Lab: Physical AI, Humanoids and the Future of Work [Sacha Ghiglione] #32
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About

The AI Lyceum Podcast explores the intersection of artificial intelligence, ethics, and society, bringing together voices from academia, industry, and policy. Hosted by Samraj Matharu - AI ethicist certified by OxEthica, University of Oxford, Visiting Lecturer at Durham University, and founder of The AI Lyceum - each episode unpacks the real-world impact of AI on business, governance, and human values. Listeners can expect: ▸ Sharp discussions on AI ethics, regulation, and governance ▸ Insights from leading experts at OpenAI, University of Oxford and more. ▸ Practical perspectives on responsible AI adoption in business ▸ Philosophical reflections on how AI reshapes our world 🌐 Website: theailyceum.com 🔗 Linktree: linktr.ee/theailyceum This isn’t just another tech podcast - it’s a space for critical thinking, practical wisdom, and future-facing ideas. Whether you’re a policymaker, business leader, or AI practitioner, The AI Lyceum Podcast equips you with the clarity to navigate AI responsibly. *The views and opinions expressed in this podcast are those of the individual speakers alone. They do not represent the views of The AI Lyceum, its host, or any affiliated organisations. Each guest participates in a personal capacity. The AI Lyceum and its host accept no responsibility or liability for any loss, damage, or actions taken in reliance on the content of this podcast.

Information

  • Creator
    Samraj Matharu
  • Years Active
    2025 - 2026
  • Episodes
    39
  • Rating
    Explicit
  • Copyright
    © 2025 The AI Lyceum. All rights reserved
  • Show Website
    The AI Lyceum