This episode is sponsored by Advertising Protocols™ — a free and open directory for the entire advertising ecosystem, built to help people explore the protocols, standards, tools, and infrastructure shaping the future of media and ad tech.

🌐 https://advertisingprotocols.com

'Bot is the old world. Agent is the new world' – Shailley Singh

What happens when AI agents start buying and selling media?

In this episode of The AI Lyceum™, Samraj Matharu sits down with Shailley Singh, EVP Product and COO at IAB Tech Lab. Shailley has helped shape modern digital advertising through senior roles at companies including Yahoo and PayPal, and through contributions to major industry standards such as MRAID for mobile.

Now he is focused on the next shift: agentic advertising.

We discuss agentic real-time bidding, publisher value, standards, transparency, human oversight, AI-generated content, and why the future of advertising may depend on humans moving from operators to architects.

HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

1:42 ➤ Why agentic AI is the next big shift in advertising

7:25 ➤ Agentic real-time bidding explained

12:40 ➤ From campaign KPIs to business outcomes

16:29 ➤ Standards, protocols and avoiding fragmentation

22:20 ➤ Human in the loop: from operator to architect

28:11 ➤ AI slop, provenance and content quality

35:28 ➤ The future of AI in marketing and advertising

44:34 ➤ Is AI a bubble?

52:05 ➤ Final thoughts: speed vs precision

WE ANSWERED

➤ What is agentic advertising?

➤ How could AI agents change media buying and real-time bidding?

➤ Why do standards and protocols matter in an AI era?

➤ How should humans stay in the loop when AI systems make decisions?

➤ What will make companies stand out when AI becomes embedded everywhere?

🎧 YouTube: https://www.youtube.com/@The.AI.Lyceum

🎧 Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza

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🎧 Amazon: https://music.amazon.com/podcasts/5a67f821-89f8-4b95-b873-2933ab977cd3/the-ai-lyceum

🌐 Website: https://theailyceum.com

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🔗 Advertising Protocols: https://advertisingprotocols.com

🔗 Shailley Singh: https://www.linkedin.com/in/shailleysingh/

🔗 IAB Tech Lab: https://iabtechlab.com

Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham)

The AI Lyceum™ is a 2K+ global community with members across OpenAI, DeepMind, Oxford, Google, Anthropic, and more.

#AI #Advertising #AdTech #AgenticAI #MediaBuying #IABTechLab #TheAILyceum

'When you see that image of yourself on the screen, suddenly it feels much more possible'

- Sunil Jindal, Co-Founder, Magic AI

What if your mirror could train you using a future version of you as the trainer?

In this episode of The AI Lyceum, Samraj Matharu sits down with Sunil Jindal, Co-Founder of Magic AI - the award-winning consumer tech company behind the AI-powered smart mirror named one of TIME Magazine's Best Inventions of 2024.

Magic AI uses computer vision to count reps, correct form, and give real-time feedback across 400+ exercises, with virtual trainers including Sir Alistair Cook, Katya Jones, and Jesse Lingard. They were invited to Dragon's Den and turned it down. They hold patents on the mirror and adjustable dumbbells. And in January 2026, they posted $3.4M in a single month, their best ever, with just 15 employees.

EPISODE HIGHLIGHTS

0:00 ➤ Welcome and intro

2:12 ➤ The Magic Mirror explained

3:43 ➤ From 2 founders to a team of 20

5:38 ➤ The emotional impact: wheelchair users, single mums, cancer recovery

9:18 ➤ Privacy by design and why they don't store your camera feed

12:40 ➤ What data does Magic AI actually track?

15:36 ➤ Body scan, metabolic age and personalised weight recommendations

19:38 ➤ Dragon's Den and why they said no

21:35 ➤ Future you as your trainer and the visualisation breakthrough

26:20 ➤ Could the mirror run ads? Sunil's honest take

29:33 ➤ Loss aversion, habit nudges and standby screen ideas

33:10 ➤ Patents, dumbbells and the Technogym comparison

38:41 ➤ From Imperial physics to AI fitness founder

45:22 ➤ One question to leave the audience with

MEMORABLE QUOTES

💬 'The only data we store are the coordinates of points on your body, not the video'

💬 'Imagine progress photos that look forwards, not backwards'

💬 'Future you, training present you, to become future you'

💬 'Always ask yourself: is this providing net positive value for me?'

KEY QUESTIONS ANSWERED

➤ How does an AI mirror track form without storing footage?

➤ What metrics does Magic AI use to personalise your workout?

➤ Why did they decline Dragon's Den?

➤ What does the future of home fitness look like with GenAI?

➤ How do you build a company with AI before it was a buzzword?

🎧 Spotify: https://open.spotify.com/show/034vux8EWzb9M5Gn6QDMza

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

🌐 Website: https://theailyceum.com

🔗 Linktree: linktr.ee/theailyceum

🪞 Magic AI: https://magic.fit

🔗 Sunil Jindal: https://www.linkedin.com/in/suniljindal21/

🔗 Varun Bhanot: https://www.linkedin.com/in/varunbhanot1/

Hosted by Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer, Durham University | Founder, The AI Lyceum | 1,000+ members from OpenAI, DeepMind, Google, Anthropic and more.

The views expressed are those of the speakers personally and do not represent The AI Lyceum or affiliated organisations.

'We should improve our critical thinking' — Chiara Gallese

As AI systems move from experimentation to infrastructure, governance becomes the real test.

In Episode 22 of The AI Lyceum, Samraj speaks with Dr Chiara Gallese — Philosophy PhD, Adjunct Professor of Digital Ethics at Collegio Internazionale Ca’ Foscari, Researcher at Tilburg Institute for Law, Technology, and Society (TILT), and Academic Expert in the European Commission’s AI Transparency Code of Practice Working Groups. A lawyer and privacy consultant for multinationals and banks since 2015, she currently focuses her studies on the legal aspects of artificial intelligence, the ethics of data use, and data protection.

She's also a TedX speaker.

They explore what fairness means once AI systems are deployed at scale, where bias truly enters AI (data, model, or deployment), and how transparency obligations under the EU AI Act shape real institutional practice.

Chiara explains the difference between stochastic and deterministic systems, why ignoring bias is not just unethical but poor engineering, and why governance must extend beyond frameworks into everyday use.

The conversation also examines emotional attachment to generative systems, disclosure dilemmas, and why strengthening human judgment may be just as important as improving the models themselves.

This is a conversation about responsibility, constitutional values, transparency, and governing intelligence in the real world.

Episode Highlights

0:00 ➤ Intro / Guest Welcome

2:40 ➤ Does AI ethics improve business outcomes?

8:55 ➤ Inside the EU AI Transparency Code of Practice

15:30 ➤ Stochastic vs deterministic systems

22:10 ➤ Where bias enters AI systems

30:45 ➤ Emotional intelligence and attachment

38:20 ➤ Disclosure, labelling, and stigma

45:10 ➤ Critical thinking in the AI era

50:30 ➤ Final reflections

Key Questions Explored

➤ What does fairness mean in AI governance?

➤ Where does bias originate in AI systems?

➤ Can AI emotional intelligence be trusted?

➤ Should AI-generated content always be disclosed?

➤ Is governance about frameworks or lived practice?

➤ What must humans preserve as AI advances?

Listen on:

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Website – https://theailyceum.com

Hosted by Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham)

#AI #AIAct #AIGovernance #DigitalEthics #Bias #Fairness #Transparency #ResponsibleAI #CriticalThinking

AI ethics, trust & safety explained — Savneet Singh (AI Ethicist) on building trustworthy AI systems, safety frameworks & responsible AI deployment. The AI Lyceum #21

'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

🌐 Join the 1K+ Community: https://linktr.ee/theailyceum

💻 Website: https://theailyceum.com

▶️ YouTube: https://www.youtube.com/@The.AI.Lyceum

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Why AI’s biggest blind spot is culture, not code — Dr Nina Begus (UC Berkeley) on cultural bias in AI, language models & cross-cultural AI development. The AI Lyceum #20

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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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💻 Website: https://theailyceum.com

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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 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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💻 Website: https://theailyceum.com

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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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💻 Website: https://theailyceum.com

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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 #law #aigovernance #aiethics #regulation #agenticai #liability #trust #gdpr #euaiact #digitalmarkets #advertising #adtech #policy #philosophy #technology #theailyceum

🎓 20% Off | Oxford AI Ethics Executive Programme https://oxsbs.link/ailyceum

“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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📘 Jim’s Book: https://www.amazon.co.uk/Marketing-Canvas-Second-Five-Step-Marketers-ebook/dp/B0G59PLDBM/

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 #openai #google #nvidia #agent #agentic #marketing #advertising #media #commerce #ecommerce #zeroclick #zmot #jimlecinski #aimarketing #consumerjourney #search #business #entrepreneur #entrepreneurship #aiethics #ethics #philosophy #theailyceum

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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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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

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