AI lab podcast, "decrypting" expert analysis to understand Artificial Intelligence from a policy making point of view.
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Latest Episodes
AI lab TL;DR | Anna Mills and Nate Angell - The Mirage of Machine Intelligence
🔍 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. F...
AI lab TL;DR | Emmie Hine - Can Europe Lead the Open-Source AI Race?
🔍 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...
AI lab TL;DR | Milton Mueller - Why Regulating AI Misses the Point
🔍 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 di...
AI lab TL;DR | Kevin Frazier - How Smarter Copyright Law Can Unlock Fairer AI
🔍 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 spread...
AI lab TL;DR | Paul Keller - A Vocabulary for Opting Out of AI Training and TDM
🔍 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 tra...
