technology
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AI lab podcast, "decrypting" expert analysis to understand Artificial Intelligence from a policy making point of view.
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Contact path
Verified email
Booking probability
21%
Guest openness
Selective
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Signup to Generate a PitchRecent episodes include "AI lab TL;DR | Joan Barata - Transparency Obligations for All AI Systems" (10 December 2025, 17 minutes), "AI lab TL;DR | Aline Larroyed - The Fallacy Of The File" (27 November 2025, 8 minutes), and "AI lab TL;DR | Anna Mills and Nate Angell - The Mirage of Machine Intelligence" (26 May 2025, 21 minutes).
AI lab by information labs publishes roughly every two weeks, with episodes averaging 16 minutes across 37 episodes.
Booking probability for AI lab by information labs is 21%, and the host is rated Selective on guests. AI lab by information labs requires a Pod Score of 80 or higher. AI lab by information labs's contact route on record: verified email.
The strongest fits for AI lab by information labs are Business & Management Consulting and Scientific Research & Development. AI lab by information labs has a technology audience.
AI lab by information labs is a technology podcast with 37 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
AI lab by information labs
🔍 In this TL;DR episode, Joan explains how Article 50 of the EU AI Act sets out high-level transparency obligations for AI developers and deployers—requiring users to be informed when they interact with AI or access...
AI lab by information labs
🔍 In this episode, Caroline and Alene unravel why the popular idea of “AI memorisation” leads policymakers down the wrong path—and how this metaphor obscures what actually happens inside large language models. Moving...
AI lab by information labs
🔍 In this TL;DR episode, Anna and Nate unpack why calling AI outputs “hallucinations” misses the mark—and introduce “AI Mirage” as a sharper, more accurate metaphor. From scoring alternative terms to sparking social...
AI lab by information labs
🔍 In this TL;DR episode, Emmie Hine (Yale Digital Ethics Center) makes the case for Europe’s leadership in open-source AI—thanks to strong infrastructure, multilingual data, and regulatory clarity. With six key policy...
AI lab by information labs
🔍 In this TL;DR episode, Milton Mueller (the Georgia Institute of Technology School of Public Policy) argues that what we call “AI” is really just part of a broader digital ecosystem. Instead of vague, top-down AI...
AI lab by information labs
🔍 In this TL;DR episode, Kevin Frazier (University of Texas at Austin school of Law) outlines a proposal to realign U.S. copyright law with its original goal of spreading knowledge. The discussion introduces three key...
AI lab by information labs
🔍 In this TL;DR episode, Paul Keller (The Open Future Foundation) outlines a proposal for a common opt-out vocabulary to improve how EU copyright rules apply to AI training. The discussion introduces three clear use...
AI lab by information labs
🔍 In this TL;DR episode, João Quintais (Institute for Information Law) explains the interaction between the AI Act and EU copyright law, focusing on text and data mining (TDM). He unpacks key issues like lawful access...
AI lab by information labs
🔍 In this TL;DR episode, Anna Tumadóttir (Creative Commons) discusses how the evolution of creator consent and AI has reshaped perspectives on openness, highlighting the challenges of balancing creator choice with the...
AI lab by information labs
🔍 In this TL;DR episode, Carys J Craig (Osgoode Professional Development) explains the "copyright trap" in AI regulation, where relying on copyright favors corporate interests over creativity. She challenges...
AI lab by information labs
🔍 In this TL;DR episode, Ariadna Matas (Europeana Foundation) discusses how the 2019 Copyright Directive has influenced text and data mining practices in cultural heritage institutions, highlighting the tension between...
AI lab by information labs
🔍 In this TL;DR episode, Martin Senftleben (Institute for Information Law (IViR) & University of Amsterdam) discusses how EU regulations, including the AI Act and copyright frameworks, impose heavy burdens on AI...
AI lab by information labs
🔍 In this TL;DR episode, Mark Lemley (Stanford Law School) discusses how generative AI challenges traditional copyright doctrines, such as the idea-expression dichotomy and substantial similarity test, and explores the...
AI lab by information labs
🔍 In this TL;DR episode, Jacob Mchangama (The Future of Free Speech & Vanderbilt University) discusses the high rate of AI chatbot refusals to generate content for controversial prompts, examining how this may conflict...
AI lab by information labs
🔍 In this TL;DR episode, Jurgen Gravestein (Conversation Design Institute) discusses his Substack blog post delving into the ‘Intelligence Paradox’ with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:08] Q1-The...
AI lab by information labs
🔍 In this TL;DR episode, Dr. Stefaan G. Verhulst (The GovLab & The Data Tank) discusses his Frontiers Policy Labs contribution on the urgent need to preserve data access for the public interest with the AI lab 📌 TL;DR...
AI lab by information labs
Let’s talk about AI tokenization in this third episode of our AI in Action series. Tokenization is actually pretty interesting, especially if you ever wondered how these fancy AI machines understand the stuff we type...
AI lab by information labs
🔍 In this TL;DR episode, Dr. Bertin Martens (Bruegel) discusses his working paper for the Brussels-based economic think tank on the economic arguments in favour of reducing copyright protection for generative AI inputs...
AI lab by information labs
🔍 In this TL;DR episode, Prof. Dr. Alexander Peukert (Goethe University Frankfurt am Main) discusses his primer on copyright in the EU AI Act with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:26] Q1-Merging...
AI lab by information labs
🔍 In this TL;DR episode, Professor Thomas Margoni (CiTiP - Centre for IT & IP Law, KU Leuven) discusses copyright law and the lifecycle of machine learning models with the AI lab. The starting point is an article...
Recent guests on AI lab by information labs. Study who booked and why before you pitch.
Senior Legal Fellow, The Future of Free Speech Project
Senior Research Fellow in the Constitutional Studies Program at the University of Texas at Austin, University of Texas at Austin School of Law
founder and executive director of the Future of Free Speech at Vanderbilt University, The Future of Free Speech & Vanderbilt University
Head of Office for MEP Axel Voss, European People's Party; Senior Fellow at the Technical University of Munich, Europäisches Parlament
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