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 w...

10 Des 202517min

🔍 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 langua...

27 Nov 20257min

🔍 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...

26 Mai 202520min

🔍 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. W...

12 Mai 202511min

🔍 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 vagu...

21 Apr 202518min

🔍 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 in...

7 Apr 202516min

🔍 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...

24 Mar 202515min

🔍 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 ...

3 Mar 202525min