The AI Lyceum

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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

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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

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Website: https://theailyceum.com

#ArtificialIntelligence #Creativity #AILiteracy #NanaAriel #TheAILyceum

Personal website: https://samrajmatharu.com

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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

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

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Website: https://theailyceum.com

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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:

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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

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Anna's substack: https://annamikeda.substack.com/

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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?

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#AI #AIEducation #ResponsibleAI #AIEthics #GenerativeAI #ArtificialIntelligence #Education #HumanAgency #TheAILyceum

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‘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

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https://podcasts.apple.com/us/podcast/the-ai-lyceum/id1837737167

Amazon

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Website

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#AI #PhysicalAI #Robotics #HumanoidRobots #RobotCity #DavosTechSummit #ResponsibleAI #AIEthics #FutureOfWork #TheAILyceum

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‘AI provides the view from nowhere. And I don’t mean it in a good way. I don’t mean the view from nowhere as an objective view. I mean it as AI doesn’t have experiences. It literally doesn’t have a point of view. But if you talk to another human being, it gives you a point of view on your situation. So you see that another human being, that is like you, could perceive things differently. So it provides a different perspective, and AI cannot do it.’

In this episode of The AI Lyceum®, Samraj Matharu speaks with Dr Jana Sedláková about artificial epistemology, humanisation, empathy, conversational AI in mental healthcare, and how AI may shape what humans come to believe.

Jana’s PhD focused on the ethics of conversational AI in mental healthcare, one of the most sensitive areas of human-AI interaction. She is now developing her book, The Ethics of Humanization, which asks why we build AI to seem human, and what this does to concepts like trust, empathy, knowledge, understanding and responsibility.

This conversation explores a deeper question: when we say AI is intelligent, empathetic, trustworthy or knowledgeable, are we describing AI accurately, or are we changing the meaning of those words?

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

3:05 ➤ Ethics, Understanding and AI

6:30 ➤ Conversational AI in Mental Healthcare

9:00 ➤ ELIZA, Simulation and Therapy Chatbots

12:10 ➤ Philosophy, Consciousness and Conceptual Clarity

17:35 ➤ Tokens, Meaning and Human Language

22:05 ➤ Epistemology and How AI Shapes Beliefs

27:20 ➤ Humanisation, Anthropomorphism and AI Design

32:55 ➤ Can AI Be Empathetic?

37:10 ➤ Morals, Ethics and the Educated Heart

42:45 ➤ AI Opportunities, Risks and Inequality

47:20 ➤ Final Reflections on the Good Use of AI

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#AI #AIEthics #ArtificialIntelligence #Epistemology #Philosophy #MentalHealthAI #HumanAIInteraction #ResponsibleAI #TheAILyceum

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‘You are perceived as you price’ - Ian Whittaker

Advertising is entering a new economic era. AI is changing what gets automated, what gets valued, and how agencies prove their worth.

In this episode of The AI Lyceum®, Samraj Matharu speaks with Ian Whittaker, a media and advertising analyst who has spent more than 25 years looking at the industry through a financial markets lens.

Ian argues that advertising has become too focused on efficiency: lower CPMs, cheaper reach, faster execution and marginal optimisation. But clients, CFOs and boards do not think in media metrics. They think in revenue growth, free cash flow, margin, risk and capital allocation.

This conversation asks a simple question: if AI makes execution cheaper, what does the advertising industry get paid for next?

We discuss why the current agency pricing model may not hold, why brand becomes more valuable when optimisation is abundant, why agencies need to move closer to the client P&L

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

3:28 ➤ Ian Whittaker’s Background in Media, Markets and Advertising

4:45 ➤ Why Advertising Must Move From Efficiency to Efficacy

6:45 ➤ CPMs, Clicks, Cash Flow and the Client Gap

8:52 ➤ Starting With the Business Problem, Not the Technology

10:58 ➤ The Industry’s Rabbit Hole of Tech, Process and Measurement

15:12 ➤ AI as a Supply-Side Shock to Advertising

16:29 ➤ Why Advantage Moves Upstream to Strategy and Brand

20:03 ➤ Distribution Control, Ad Tech and the Future of Agencies

24:20 ➤ Publicis, Power of One and Agency Margin

26:19 ➤ Why the Advisor and Executor Roles Are Blurring

29:39 ➤ Why the Current Agency Revenue Model Will Not Hold

34:30 ➤ What Agencies Need to Change Before 2030

39:42 ➤ OpenAI Ads, LLM Advertising and Capital Allocation

42:06 ➤ Attribution, Risk and Why CFOs Do Not Need Perfect Certainty

46:35 ➤ Speaking the Language of the CFO

49:58 ➤ Closing Thoughts

KEY QUESTIONS ANSWERED

➤ Why has advertising become too focused on efficiency?

➤ What does AI do to agency pricing power?

➤ Why is execution becoming commoditised?

➤ Should agencies be paid for time, outputs or outcomes?

➤ Why does brand become more important in an AI-driven media world?

➤ How should advertisers think about every pound of media spend?

➤ Why do agencies need to speak the language of the CFO?

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