Topics / AI Regulation
AI Regulation Podcasts
24 shows and 9,600 episodes sit under AI Regulation.
How the top podcasts are covering AI regulation — EU AI Act, U.S. state law (Colorado SB24-205, Texas TRAIGA, NYC Local Law 144, California SB 53), antitrust, and procurement
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AI Regulation podcasts, explained
The policy conversation becomes useful when “AI” stops being treated as one giant object. A privacy officer worries about data retention; an intellectual-property lawyer asks who can claim authorship; a political reporter follows the fight between state and federal power. In audio, those distinctions have room to breathe. The strongest episodes let an expert finish the chain of reasoning before testing where it breaks.
For the wider technical picture, move up to Artificial Intelligence. Alignment & Safety concentrates on model behaviour and risk, while AI in Society follows the cultural consequences. If national competition matters more than the rules themselves, head instead to US-China AI Race.
Inside the rule-making machinery
The Privacy Advisor is the specialist’s starting point. It sounds like a practitioner publication translated into a measured interview: statutes, jurisdictions and enforcement questions arrive without much introductory hand-holding. That density suits listeners who already understand the vocabulary and want to hear how one obligation connects to another.
Its range is unusually concrete. Former AI Act negotiator Laura Caroli on the proposed EU Digital Omnibus for AI goes directly to European rule-making, while Guest pod: Alex LaCasse talks AI governance with Brenda Leong and Andrew Burt names governance as the subject rather than an incidental theme. Privacy questions extend across borders in Transatlantic data flows, the CBPR and AI: A conversation with the International Trade Administration's Bill Guidera. For a jurisdiction-by-jurisdiction view, there is also Data protection law in India and Vietnam: A discussion with Charmian Aw.
CDT Tech Talks works well beside it because its episode titles put technical governance problems into narrower frames. Tech Talks on Fair and Accountable AI: Data, Agents, and Regulation is the broad entry, then Talking Tech with Amy Winecoff and Umang Bhatt on AI-Documentation shifts attention to documentation. Talking Tech with Kate Ruane & Riana Pfefferkorn on Grok AI offers a platform-specific route into the same policy territory.
Follow the incentives
POLITICO Tech approaches regulation as a contest among institutions, companies and political actors. The interviews move briskly, with pointed questions and enough insider vocabulary to make the mechanics visible. It is especially good when you want to know who is pressing for a rule, who benefits from it and where resistance is forming.
Why Trump is fighting states over AI gives that conflict a clean political frame. The business case for governing AI moves the argument into corporate incentives, and Coming to city near you: AI-powered government brings public administration into view. Energy policy sits close to regulation too: How AI is driving Trump's energy agenda and Why energy bills could be AI's new political problem make useful companion listens.
Decoder with Nilay Patel takes a more argumentative route. Nilay Patel’s long questions often assemble several premises before asking a guest to accept—or reject—the sharper version. That makes Dr. Jill Lepore on why the AI backlash is vital for the future a strong choice for listeners interested in public resistance, while What Apple's OpenAI lawsuit is really about points toward the legal struggle around major technology companies. The left and right agree on one thing: no data centers catches a rare point of political convergence without pretending the underlying interests are identical.
When rules meet ordinary life
Plain English with Derek Thompson widens the lens through a writerly, single-guest interview style. Derek Thompson tends to build from a paradox or analogy, then translate technical language into everyday stakes. It May Be Time to Freak Out About AI is the direct alarm-bell episode; Why Americans Hate Data Centers grounds the politics in infrastructure that communities can see, hear and oppose.
Daily Tech News Show is quicker and more conversational. Its co-host dynamic makes disagreement feel provisional, as if the argument is being revised while you listen. OpenAI Slows Down and Focuses on Safety - DTNS 5335 supplies a concise news-driven entry, while Anthropic is (almost) Not a Supply Chain Risk - DTNS 5342 shifts the regulatory vocabulary toward institutional dependence and procurement.
These shows are useful when formal policy language starts to float away from lived consequences. They bring the discussion back to energy bills, local opposition, corporate promises and the public appetite for restraint. For deeper questions about model failures themselves, Alignment & Safety is the cleaner next stop.
Law in practice
Jones Day Talks has the orderly rhythm of a moderated professional discussion. Its legal voices are comfortable with technical explanation, named doctrines and long answers. JONES DAY TALKSr: Women in IP - Supreme Court Denies Review of Thaler v. Perlmutter: AI Authorship Questions Remain is the obvious listen for the unsettled relationship between generative systems and authorship.
Giant Robots Smashing Into Other Giant Robots is looser and warmer. The conversations think aloud, rephrase technical points and allow practical tangents to become the next question. Start with 615: Harvey AI and the Future of Law, then use 614: AI Code Audits for a closer look at scrutiny inside software work. 605: AI: It doesn't have to be this way with Lord Chris Holmes offers a broader counterpoint to the assumption that current development paths are fixed.
Where to start
For regulatory professionals, begin with The Privacy Advisor’s Former AI Act negotiator Laura Caroli on the proposed EU Digital Omnibus for AI. Choose POLITICO Tech’s Why Trump is fighting states over AI for the political power struggle, or Decoder with Nilay Patel’s Dr. Jill Lepore on why the AI backlash is vital for the future for a skeptical public-facing conversation. If your concern is how rules reach working lawyers and developers, pair Jones Day Talks’ JONES DAY TALKSr: Women in IP - Supreme Court Denies Review of Thaler v. Perlmutter: AI Authorship Questions Remain with Giant Robots Smashing Into Other Giant Robots’ 614: AI Code Audits.
Featured shows below are part of the PlayNext catalog. Updated weekly.
Featured shows
7 shows, described rather than listed
A short write-up for each, plus the job it does in this guide.
Nilay Patel's hour-long interviews with the people running, regulating, or being regulated by the AI policy fight. Recent: 'Anthropic doesn't trust the Pentagon,' 'The surprising case for AI judges,' 'How AI is fueling an existential crisis in education.'
Reid Hoffman covers AI policy as a participant, not just a chronicler. Useful for understanding what the operator class is actually pushing for, even where you disagree.
Lewis Goodall, Emily Maitlis, Jon Sopel — political journalists covering AI policy when it crashes into Westminster. The framing is 'this is a political story,' which is what the regulation conversation requires.
Kara Swisher and Scott Galloway's mass-audience version of the regulation conversation. 'Anthropic vs. Pentagon and AI Doomsday Memo,' 'TSA Chaos and White House AI Plan,' 'OpenAI Shades Microsoft and Anthropic.' Take Galloway's predictions in the spirit they're offered.
Daily news on the regulatory beat — 'Anthropic and OpenAI Draw a Red Line for the Pentagon,' 'US DoD Officially Declares Anthropic a Supply Chain Risk,' 'What Anthropic's White House Meeting Really Means.'
Derek Thompson runs the historical-comparison version of regulation conversations — what does the current policy cycle look like alongside past tech regulation cycles. 'America Isn't Ready for What AI Will Do to Jobs' sits at the labor-policy edge.
The Artificial intimacy series and Tech in 2026 arc both touch regulation through deployment harms — deepfake elections, chatbot-companion legal questions, cross-jurisdictional reach.
Where to start
4 routes in, one per reader
Nilay Patel's format earns the runtime that the regulation conversation actually requires.
British political journalism takes AI seriously when it touches Westminster, and the framing is corrective when the U.S. debate slides.
Reid Hoffman is in the policy room, not just covering it. Listen for what the operator class is pushing for.
The procedural and procurement-side news the longer interview shows skip.
Glossary
Speak the language
The EU's risk-tiered AI regulation. Entered into force 1 August 2024; most general-purpose model obligations apply from 2 August 2025; the bulk of the rest from 2 August 2026; some high-risk provisions phase in into 2027.
General-Purpose AI. Term of art in the EU AI Act for foundation/large-language models. The 2 August 2025 date is the GPAI-obligations milestone.
Colorado's anti-discrimination law for AI in consequential decisions. Most core obligations land in 2026.
Texas's AI governance law, effective from January 2026. Sometimes called the most significant U.S. state-level AI law after Colorado's.
New York City's bias-audit rule for automated employment decision tools. Already-effective for a couple of years; the rule that has actually been touching deployments in the U.S. labor market.
The U.S. National Institute of Standards and Technology's voluntary AI Risk Management Framework. Influential and technical, but rarely covered in podcasts.