Notas del episodio
“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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