'The machine is there to support you — not to replace your judgment. You are the one in control' — Savneet Singh

As AI becomes more human-like, trust becomes harder to define — and more critical to get right.

In this episode, Samraj speaks with Savneet Singh, who doesn't speak in her capacity as trust and safety lead at a top tech company, but as Visiting Lecturer at Emory University, about what it really means to trust AI systems that increasingly sound, remember, and respond like humans.

Savneet breaks down why trust in AI isn't about how human it feels — it's about predictability, transparency, and alignment with human values. They explore why AI must remain a co-pilot, not an autopilot, why labeling AI-generated content matters, and how misinformation spreads not through conspiracy, but through everyday digital behaviour.

The conversation tackles 'AI psychosis' emotional attachment to non-conscious systems, the ethics of AI companions, and why accountability must sit with developers, deployers, and users — not the machine. This is a conversation about responsibility, boundaries, and keeping humans firmly in control as AI becomes more powerful.

WHAT YOU'LL LEARN

→ What trust actually means in the context of AI

→ Why human-in-the-loop design is non-negotiable

→ The difference between misinformation and disinformation

→ Why AI companions risk emotional substitution

→ How "AI psychosis" emerges through prolonged interaction

→ Why labelling AI content builds trust

→ Where accountability must sit when AI goes wrong

EPISODE HIGHLIGHTS

0:00 ➤ Intro

1:50 ➤ What does "trust" really mean in AI?

4:41 ➤ Transparency, guardrails, and human-in-the-loop

7:22 ➤ Trust vs confidence

9:33 ➤ AI-generated journalism and fabricated facts

11:15 ➤ Misinformation, deception, and human responsibility

14:49 ➤ AI psychosis and emotional attachment

21:07 ➤ Losing clarity about the human–AI relationship

24:27 ➤ Supportive tools vs emotional substitution

28:49 ➤ Guardrails, free will, and ethics by design

30:20 ➤ "Digital littering" and everyday ethics

33:54 ➤ Why AI literacy matters for all ages

36:26 ➤ One practical guardrail every business should use

39:51 ➤ Trusting AI when you doubt your own judgment

42:26 ➤ Teaching children how to use AI responsibly

46:55 ➤ Why AI agents still feel risky

52:22 ➤ The accountability gap

54:00 ➤ Final message: humans must stay in control

🔗 LISTEN, WATCH & CONNECT

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The AI Lyceum is a global community exploring AI, ethics, philosophy, and human potential — hosted by Samraj Matharu, Certified AI Ethicist (Oxford) and Visiting Lecturer at Durham University.

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"Humanities scholars need to be at the table where AI is being built — ethics must be embedded from the start, not added as a band-aid afterward" — Dr. Nina Begus

AI doesn't just process data — it processes human culture.

In this episode, Samraj speaks with Dr. Nina Begus, Philosophy PhD from Harvard, UC Berkeley researcher and author of Artificial Humanities, who argues that understanding AI requires more than engineering — it requires the humanities.

Nina reveals how ancient myths like Pygmalion still shape how we design AI today, why language models inherit our cultural assumptions, and what happens when language gets stripped from human experience. They explore Ex Machina's warning about artificial companions, the rise of "mind crime" with Neuralink, and whether transformers are really the future.

WHAT YOU'LL LEARN:

→ How the Pygmalion myth influences AI design

→ Why Ex Machina matters for understanding AI relationships

→ What "mind crime" means in the age of Neuralink

→ The difference between trust and reliability in AI

→ Why interpretability unlocks creativity and control

→ Are transformers really it — or is there more ahead?

EPISODE HIGHLIGHTS

0:00 ➤ Intro

3:00 ➤ What humanities reveal about AI

10:00 ➤ Academia meets Silicon Valley

13:00 ➤ "Will I be replaced?" — the 2023 question

17:00 ➤ Writers respond: First Encounters book

21:00 ➤ The Pygmalion myth in modern tech

24:00 ➤ Ex Machina & artificial companions

28:00 ➤ Neuralink, neuroethics & mind crime

33:00 ➤ Ethics from the start vs band-aid approach

36:00 ➤ Getting the transformer paper day one

42:00 ➤ Are transformers the future?

45:00 ➤ Determinism vs creativity in AI

48:00 ➤ The black box problem

53:00 ➤ Tokenization: language without meaning

58:00 ➤ Trust vs reliability in machines

1:02:00 ➤ Would you trust a machine?

🔗 LISTEN, WATCH & CONNECT

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ABOUT THE AI LYCEUM

The AI Lyceum explores AI, ethics, philosophy, and human potential — hosted by Samraj Matharu, Certified AI Ethicist (Oxford) and Visiting Lecturer at Durham University.

#ai #humanities #ethics #culture #neuralink #exmachina #berkeley

AI is not an oracle — it is a question machine.

In this episode, Samraj Matharu speaks with Cassandra Sibilin, Philosophy Lecturer at CUNY (City University of New York) and a leading practitioner in AI-assisted education.

Cassandra works at the intersection of philosophy, pedagogy, and emerging AI tools, helping educators and students move beyond fear, hype, and automation toward deeper thinking. Rather than treating AI as an answer engine or oracle, she argues for a different framing: AI as a question machine — a tool that challenges assumptions, surfaces multiple perspectives, and sharpens human judgment.

Together, they explore why philosophy has become essential AI literacy, how “flipping the interaction” with AI changes learning outcomes, and why critical thinking is not replaced by automation — but pressured into relevance by it. The conversation examines dialectic thinking, growth-mindset tutors, the risks of anthropomorphising AI, and how education must evolve toward dialogue, inquiry, and community.

This is a long-form, reflective discussion about authority, knowledge, ethics, and what it really means to teach — and think — in the age of generative AI.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest welcome

3:10 ➤ Why AI isn’t an oracle

9:20 ➤ Philosophy as AI literacy

15:40 ➤ Flipping the interaction: AI that asks questions back

23:30 ➤ Dialectic thinking vs hype and panic

31:10 ➤ Anthropomorphising AI: bug or feature?

38:50 ➤ Ethics, growth mindset, and responsible AI tutors

46:00 ➤ Education in 2050: AI tutors and human community

53:30 ➤ Closing reflections & audience question

🔗 LISTEN, WATCH & CONNECT

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ABOUT THE AI LYCEUM

The AI Lyceum™ is an independent global community exploring AI, ethics, philosophy, and human potential — hosted by Samraj Matharu, Certified AI Ethicist (University of Oxford) and Visiting Lecturer at Durham University.

“1K+ members from OpenAI, DeepMind, Oxford, Google, and more.”

“The things we can say are limited by the things we can think.”

In this episode, Samraj Matharu speaks with Peter Danenberg, Senior Software Engineer specialising in rapid LLM prototyping at Google DeepMind, based in Palo Alto, California.

Peter works at the frontier where large language models move from research to real-world systems. Together, they explore what it really means to think with AI — not to outsource thinking to machines, but to use them as tools that challenge, pressure-test, and refine human judgment.

The conversation goes beyond model performance into philosophy, ethics, and cognition. Peter reflects on why intelligence is not the same as thinking, how critical thinking emerges from moments of crisis, and why philosophy remains the underlying language of reasoning in an age of automation.

They examine our instinct to anthropomorphise AI — questioning whether this is a flaw or an evolutionary feature — and discuss why ethics in LLM development has largely focused on harm reduction rather than human flourishing. The episode also introduces the idea of peirastic AI: systems designed not to reassure users, but to test and sharpen their thinking.

This is a long-form, reflective conversation about judgment, responsibility, and the limits of automation — and what still belongs, fundamentally, to humans.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest welcome

4:00 ➤ Peter’s role at DeepMind and rapid LLM prototyping

9:30 ➤ What “thinking with AI” really means

15:00 ➤ Intelligence vs thinking: where people get confused

22:00 ➤ Philosophy as the language of thinking

30:00 ➤ Critical thinking, crisis, and discernment

38:00 ➤ Anthropomorphising AI: bug or feature?

47:00 ➤ Ethics in LLMs and the limits of harm reduction

56:00 ➤ Automation, judgment, and human responsibility

1:05:00 ➤ Peirastic AI: systems that test us

1:15:00 ➤ Interfaces, embodiment, and tactile thinking

1:26:00 ➤ What can’t be automated

1:36:00 ➤ Closing reflections and audience question

🔗 LISTEN, WATCH & CONNECT

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ABOUT THE AI LYCEUM

The AI Lyceum is a global community exploring AI, ethics, creativity, and human potential — hosted by Samraj Matharu, Certified AI Ethicist (Oxford) and Visiting Lecturer at Durham University.

#ai #genai #llm #google #deepmind #aiethics #ethics #philosophy #thinking #criticalthinking #automation #humanjudgment #agenticai #responsibleai #theailyceum

“Law does not stop innovation — but poor regulation can quietly distort it.”

In this episode, Samraj speaks with Stephen Dnes, media lawyer, partner at Dnes & Felver, and lecturer in law at Royal Holloway, University of London, about one of the most important questions facing AI today:

How should law assign responsibility when AI systems act, decide, and transact autonomously?

Stephen brings a rare transatlantic legal perspective, having worked across UK, EU, and US competition, data, and technology regulation. Together, they explore how existing legal doctrine struggles with agentic systems, why GDPR and the EU AI Act often collide rather than complement one another, and how concepts like liability, mens rea, hazard, and risk must evolve in an AI-mediated world.

The conversation moves beyond surface-level AI debates into deeper legal, economic, and philosophical territory — including how agentic contracts change verification and accountability, why today’s AI systems are better at averaging than wisdom, and what trust really means as humans gradually leave the loop.

Whether you work in law, policy, advertising, technology, or AI strategy, this episode offers a rare, clear-eyed view of how legal systems may adapt to the next era of automation.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

3:00 ➤ Defining data, information, and regulation

8:00 ➤ Why law always lags innovation

13:00 ➤ GDPR vs the EU AI Act: a structural tension

18:00 ➤ Hazard vs risk and the limits of precaution

24:00 ➤ Mens rea, strict liability, and AI systems

32:00 ➤ Agentic contracts and responsibility chains

41:00 ➤ Disintermediation and the future of advertising markets

50:00 ➤ Trust, brands, and humans leaving the loop

58:00 ➤ Artificial intelligence vs artificial wisdom

1:05:00 ➤ Law, philosophy, and the role of human judgment

1:09:00 ➤ Closing reflections & audience question

🔑 KEY QUESTIONS ANSWERED

➤ How should responsibility be assigned when AI acts autonomously?

➤ Why do GDPR and the EU AI Act often pull in opposite directions?

➤ What is the legal difference between hazard and risk — and why does it matter?

➤ Can concepts like mens rea apply to AI systems at all?

➤ How do agentic contracts change verification and liability?

➤ Why AI systems average well but struggle with wisdom

➤ What does “trust” mean in an AI-mediated economy?

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“AI raises the ceiling and raises the floor. It is not the end of marketing. It is the beginning of better marketing.” — Jim Lecinski

In this episode, Samraj speaks with Jim Lecinski, Clinical Professor of Marketing at Northwestern University’s Kellogg School of Management and former Google VP.

He created ZMOT (Zero Moment of Truth), the idea that people research and judge brands long before they reach a store or website. His new book, The AI Marketing Canvas, Second Edition: A Five-Step AI Plan for Marketers, offers a clear method for adopting AI in modern organisations. In the Zero-Click Era, where AI answers instead of sending users to links, this work becomes essential.

We explored how AI-first search, LLMs and agentic interfaces are changing discovery and consumer behaviour. Jim explains how models gather and refine information, why answers differ and how brands can prepare for a world where clicks fall. He argues for clear use cases, real value creation and avoiding hype. We explore ethics, bias and how brands must balance financial, brand and community value.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

1:00 ➤ Why AI is reshaping marketing

3:00 ➤ ZMOT explained and Zero Click’s rise

6:00 ➤ The 2x2 model for real AI use cases

10:00 ➤ Efficiency traps

13:00 ➤ How LLMs retrieve and refine information

16:00 ➤ Variability, trust and personalisation

20:00 ➤ Ethics, bias and community value

25:00 ➤ Preparing for AI-first search

30:00 ➤ Agentic assistants and commerce

35:00 ➤ Wow moments with AI

40:00 ➤ UI, usability and the next era

45:00 ➤ Jim’s closing challenge

50:00 ➤ Closing

🔗 LISTEN, WATCH & CONNECT

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ABOUT THE AI LYCEUM

The AI Lyceum is a global community exploring AI, ethics, creativity and human potential, hosted by Samraj Matharu, Certified AI Ethicist (Oxford) and Visiting Lecturer at Durham University.

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🍫 The answer is yes — he is related to 𝘵𝘩𝘢𝘵 Cadbury.

“Conversation is the most natural interface there is.” — Charles Cadbury

Charles Cadbury — CEO, Say It Now and Amazon Alexa Cup winner — explores why Voice AI is becoming the new interface for search. From early Alexa development to powering actionable audio ads for Marriott, Greggs and HMRC, he explains how voice delivers better engagement and how agentic advertising will reshape the future.

The conversation dives into context windows, ethics, mind-crime, multimodal devices, energy demands, assistant wars, and why voice may replace screens as the dominant interface by 2030.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

1:00 ➤ “Conversation is the most natural interface there is”

2:50 ➤ Broadcast vs dialogue

3:45 ➤ Why voice beats typing

4:40 ➤ The early Alexa commerce moment

5:40 ➤ How actionable audio ads work

6:45 ➤ Smart speaker behaviours

8:00 ➤ Building voice apps before mass adoption

9:40 ➤ Booking flights by voice (2015)

10:30 ➤ Marriott & in-room assistants

11:25 ➤ Winning Amazon’s Alexa Cup

12:40 ➤ Debunking the “always listening” myth

13:50 ➤ Context windows in advertising

15:20 ➤ Agentic journeys: audio ad → action

16:20 ➤ Growing The AI Lyceum via voice search

17:20 ➤ Voice-through-rate & 30–40% conversions

20:00 ➤ Measuring voice in the zero-click era

21:10 ➤ Branded experts for Alexa, Gemini & Siri

22:20 ➤ Ethics, persuasion & the audience of one

24:20 ➤ Data powering conversational optimisation

25:45 ➤ Voice as the unlock for TV, radio & OOH

27:50 ➤ From billboard to real-time booking

29:00 ➤ Beyond the smartphone: new interfaces

30:40 ➤ Smart glasses & multimodal projection

31:30 ➤ Mind-crime: when AI gets “too good”

32:30 ➤ Using AI for creative thought partnership

33:30 ➤ Alexa upgrades & the assistant wars

34:40 ➤ Power demand & AI’s energy challenge

36:50 ➤ Space data centres & lunar solar ideas

38:20 ➤ Why OpenAI won’t run ads mid-conversation

40:10 ➤ Behaviour change campaigns: smoke alarms & HMRC

42:00 ➤ Charles’ closing question

43:00 ➤ Closing

PLATFORMS

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“It’s really a question of will… Do we want the exciting future or the scary future?” — Scot Bryson

Scot Bryson — Founder of Orbital Farm, General Partner at Impactful Capital, circular-systems thinker and long-standing NASA collaborator — joins Samraj to explore how AI is heating the planet, how waste heat could become one of the most powerful sustainability tools we have, and why the future of data centres will shape the future of civilisation.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

0:56 ➤ Ethics from a 50,000-ft ecosystem view

2:16 ➤ What ethics means in circular systems

3:15 ➤ The meaning behind “Orbital Farm”

4:33 ➤ Space habitats & circular industrial thinking

5:37 ➤ Abundance vs scarcity: the global contradiction

7:00 ➤ How we define “abundance” properly

8:04 ➤ Scot’s NASA work: astronaut health & extreme systems

9:18 ➤ Converting asteroids into soil & lunar glass habitats

10:51 ➤ The ISS: 25 years of a perfect closed ecosystem

13:02 ➤ Positive futures vs doom narratives

14:03 ➤ Why practical optimism matters

15:19 ➤ Waste heat: the most overlooked resource in AI

16:47 ➤ Data centres as heaters, not energy problems

18:06 ➤ Industrial heat reuse: cement, steel, greenhouses

19:22 ➤ Eliminating waste streams to improve productivity

20:30 ➤ AI, superintelligence & symbiotic infrastructure

22:00 ➤ Mutual survival: lessons from nuclear deterrence

23:30 ➤ Heat reuse in hot climates & desalination

24:42 ➤ Low-temperature desalination & vacuum systems

26:01 ➤ Why hyperscalers must redesign data centres

27:01 ➤ Investors, coalitions & financing green infrastructure

28:17 ➤ What we can implement today

29:25 ➤ “If you led the world…” — Scot’s blueprint

31:10 ➤ Germany’s heat-sharing mandates

32:38 ➤ Carrot vs stick: cheaper capital for green data centres

34:08 ➤ Sustainable-linked debt & data centre certification

35:12 ➤ What Google, Amazon & Microsoft must do now

36:30 ➤ Zero-carbon commitments & the scaling tension

37:33 ➤ Heat-based communities & hyper-local food systems

38:45 ➤ Power purchase agreements for sustainability

40:49 ➤ Why procurement is the real lever of climate action

41:54 ➤ Google’s 1.3 quadrillion tokens & global energy impact

44:12 ➤ EU emissions reporting & advertising’s carbon footprint

45:14 ➤ Scot’s question for the audience

47:44 ➤ Individual action vs organisational impact

49:50 ➤ Institutional influence: universities & endowments

52:40 ➤ Closing reflections

54:20 ➤ Thank You & End

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“AI is amplifying both our cognition and our blind spots… it’s showing us who we are.” — Dr. Lollie Mancey

Dr. Lollie Mancey — anthropologist, futurist and Program Director at UCD’s Innovation Academy — joins Samraj to explore how AI is reshaping identity, intimacy, culture, empathy and the future human condition. A grounded, human conversation on loneliness, AI companions, ethics, neuroscience, simulation theory and how technology is transforming how we think, feel and relate.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

0:56 ➤ Lollie’s background & cyber-anthropology

2:01 ➤ Futureville: Ireland 2050 through AR

2:58 ➤ Fear, misinformation & youth pushback

3:52 ➤ Computer science’s identity crisis

4:42 ➤ “Anything + AI” & future learning

5:40 ➤ What anthropology really is

7:38 ➤ Micro-cultures & collapsing shared reality

9:14 ➤ Culture, identity & mental models

10:12 ➤ AI companions reshaping intimacy

11:14 ➤ Lonely vs alone

13:53 ➤ AI mentors & digital spirituality

15:58 ➤ Context, meaning & ethical AI

18:01 ➤ Hallucinations as “I don’t know”

19:53 ➤ Empathy vs simulation

21:14 ➤ Morals vs ethics

24:11 ➤ Are we living in a simulation?

26:55 ➤ NASA systems thinking

28:53 ➤ Unintended tech behaviours

30:32 ➤ Purpose crisis & lost entry-level work

32:28 ➤ CEO blind spots

34:43 ➤ Fake empathy & emotional illusions

36:52 ➤ “Good thinking” & meta-thinking

38:52 ➤ Why AI must remind us it’s not human

40:44 ➤ Emotional context limitations

42:35 ➤ Rationality vs emotion

44:19 ➤ The “AI magic” moment

45:17 ➤ Avatars & identity

47:18 ➤ AI relationships & emotional dependence

49:54 ➤ Tech, dopamine & cortisol

51:42 ➤ Memory offloading & shrinking hippocampi

52:47 ➤ EEGs, mind-crime & neuro-tech

54:00 ➤ Closing: “Get yourselves AI literate so that you’re prepared for what’s coming… How well do you think you understand AI right now?”

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“If this works, we can make the entire global economy a trillion dollars bigger… That’s a massive opportunity for humanity.” — Brian O’Kelley

Brian O’Kelley has made over $2B in selling his businesses — Inventor of the ad exchange, former CEO of AppNexus (acquired for $1.6B), Right Media (acquired for $600M) and now CEO of Scope3 — has shaped the economic and technical foundations of the open internet. In this episode, Samraj speaks with Brian about AI, agentic ecosystems, sustainability, and why the future of advertising will reward experimentation over determinism.

A sharp, fast-moving conversation on trillion-dollar market shifts, the collapse of legacy ad models, new protocols, and what AI-native companies understand that incumbents don’t.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

3:10 ➤ Early Amex work: real-time prediction & billion-dollar outcomes

8:35 ➤ Inventing the ad exchange & the Yahoo exit

12:40 ➤ Bayesian models, decision trees & scaling the early web

16:10 ➤ Pivotal moments: header bidding, curation & industry “diaspora”

20:40 ➤ Leadership lessons: conviction, humility & learning from failure

24:20 ➤ How a psychologist wife reshaped Brian’s understanding of people

26:50 ➤ Brian’s AI “wow moment”: when LLMs overtook adtech tooling

30:10 ➤ Brand safety becomes a feature, not a market

32:30 ➤ Pull-based AI search & the new brand suitability challenge

34:40 ➤ Agents as personal shoppers & breaking the tyranny of scale

38:20 ➤ Experimentation vs determinism: the trillion-dollar upside

42:10 ➤ Beyond DSPs: new buying models & shifting economics

47:00 ➤ Big tech, retailers & why AI-native companies win the next decade

50:10 ➤ Building agentic infrastructure in months, not years

53:10 ➤ Ethics & Brian’s closing question to the audience

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