🔍 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 media debates, they show how language shapes our assumptions, trust, and agency in the age of generative AI. The takeaway: choosing the right words is a hopeful act of shaping our AI future. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:42] Q1-What’s wrong with the term “AI hallucinatio...
May 26, 2025•21 min
🔍 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 recommendations, the message is clear: trust and transparency can make EU models globally competitive. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:43] Q1-What advantages make the EU a strong contender in open-source AI compared to the US and China? ⏲️[03:08] Q2-How do EU regulations...
May 12, 2025•11 min
🔍 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 regulation, he calls for context-specific rules that address actual uses—like facial recognition or medical diagnostics—rather than the underlying technology. The key message: regulate behavior and applications, not “AI” as an abstract concept. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[0...
Apr 21, 2025•18 min
🔍 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 reforms—an AI training presumption, research safe harbors, and data commons—to help innovators access data more easily. By reducing legal ambiguity, the proposals aim to support responsible AI development and level the playing field for startups and researchers. 📌 TL;DR Highlight...
Apr 07, 2025•17 min
🔍 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 cases—TDM, AI training, and generative AI training—to help rights holders express their preferences more precisely. By standardizing terminology across the value chain, the proposal aims to bring legal clarity, promote interoperability, and support responsible AI development. 📌 TL;...
Mar 24, 2025•15 min
🔍 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, opt-out mechanisms, and transparency obligations for AI developers. João explores challenges such as extraterritoriality and trade secrets, offering insights into how voluntary codes of practice and contractual diligence could help align AI innovation with EU copyright rules. #AI...
Mar 03, 2025•25 min
🔍 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 risks of misuse. Examines the limitations of blunt opt-out mechanisms like those in the EU AI Act, the implications for marginalized communities and open access, and explores the need for nuanced preference signals to preserve openness while respecting creators' intentions in the ...
Feb 10, 2025•20 min
🔍 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 misconceptions about copying and property rights, showing how this approach harms innovation and access. Carys offers alternative ways to protect human creativity without falling into this trap. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:46] Q1-What is the "Copyright Trap," and why could it ...
Jan 27, 2025•29 min
🔍 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 public interest missions and restrictive approaches, and explores the broader implications of opt-outs on access, research, and the role of AI in the cultural sector. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:53] Q1-How did the 2019 Copyright Directive change the landscape for cu...
Jan 13, 2025•16 min
🔍 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 training and development. The discussion highlights concerns about bias, quality, and fairness due to opt-outs and complex rights management systems, questioning whether these rules truly benefit individual creators. A proposal is made to focus regulatory efforts on the market explo...
Dec 16, 2024•10 min
🔍 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 evolving role of human creativity in the age of AI. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:54] Q1-How does genAI challenge traditional copyright doctrines and will this lead to an evolution of copyright? ⏲️[03:58] Q2-Can we expect new forms of legal recognition or protection f...
Nov 25, 2024•9 min
🔍 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 with the principles of free speech and access to diverse information. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[00:51] Q1-How does the high rate of refusal by chatbots to generate content conflict with the principles of free speech and access to information? ⏲️[06:53] Q2-Could A...
Nov 04, 2024•16 min
🔍 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 ‘Intelligence Paradox’: How does the language used to describe AI lead to misconceptions and the so-called ‘Intelligence Paradox’? ⏲️[05:36] Q2-‘Conceptual Borrowing’: What is ‘conceptual borrowing’ and how does it impact public perception and understanding of AI? ⏲️[10:04] Q3-Huma...
Oct 21, 2024•15 min
🔍 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 Highlights ⏲️[00:00] Intro ⏲️[01:13] Q1-‘Data Winter’: Can you provide a brief overview of your concept of 'Data Winter' and why you believe we are on the brink of entering one? ⏲️[05:05] Q2-Generative AI-nxiety: What are some of the most significant challenges currently hind...
Sep 30, 2024•13 min
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 and say and produce things when we give them prompts. Next time you're marvelling at an AI-generated text, remember it's all about those tiny tokens, dancing together in a complex symphony of language and prediction.
Sep 16, 2024•7 min
🔍 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 and outputs with the AI lab * 9:44: Mr Martens intended to say "humans" instead of machines 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:21] Q1-Balancing Innovation & Rights Can the TDM opt-out right hinder innovation and economic growth, and what does it mean as regards the pow...
Sep 09, 2024•14 min
🔍 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 copyright & AI regulation: What challenges arise from merging copyright law and AI regulation? How might this impact legislation, compliance, and enforcement? ⏲️[06:08] Q2-AI Act copyright targets: Who are the main targets of the AI Act's copyright-related obligations? ⏲️[09:33] ...
Jul 18, 2024•16 min
🔍 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 co-authored with Professor Martin Kretschmer (CREATe, University of Glasgow) and Dr Pinar Oruç (University of Manchester), and published in open access in the International Review of Intellectual Property and Competition Law (IIC). 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:26] Q1-C...
Jul 11, 2024•13 min
Let’s talk about AI terminology in the second episode in our AI in Action series. The AI term gets thrown around more than a beach ball at a summer picnic, and it’s not always clear what people are talking about. “AI” is to tech what “food” is to a grocery store – sure, it covers a lot, but a hot dog and a filet mignon are pretty darn different when it comes to what they do to your insides. AI is a layered beast, like a high-tech set of Russian nesting dolls. You crack open the biggest one, and ...
Jul 02, 2024•11 min
🔍 In this TL;DR episode, Dr Elisa Giomi, Associate Professor at the Roma Tre University and Commissioner of the Italian Communications Regulatory Authority (AGCOM), discusses her recent contribution on Intermedia, the journal of the International Institute of Communications (IIC), titled “The (almost) unacknowledged revolution of AI in the media and creative industries”, with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:15] Q1 - AI’s impact vs. past revolutions: How does AI’s impact on ...
Jun 18, 2024•18 min
🔍 In this TL;DR episode, Derek Slater (Proteus Strategies) discusses his recent blog post on the Tech Policy Press website, titled “What the Copyright Case Against Ed Sheeran Can Teach Us About AI”, with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:11] Q1 - Legal boundaries & creativity: How to define the boundary between protectable expression and unprotectable building blocks in music & other creative fields? What lessons does this offer for generative AI? ⏲️[05:13] Q2 - Conse...
May 30, 2024•13 min
We are kickstarting our AI in Action series by diving headfirst into the key milestones that led to the gradual deployment of Artificial Intelligence, or AI for short. You might think it's some shiny new invention, looking at all the recent media coverage about robots taking over your jobs and writing bad poetry. But hold on to your Roomba, because AI has been around longer than your grandma’s pocket calculator. Read more & grab the infographic of this timeline here: https://informationlabs....
May 07, 2024•9 min
🔍 In this TL;DR episode, Professor Žiga Turk (University of Ljubljana, Slovenia) discusses his recent contribution for the Wilfried Martens Centre for European Studies on how “Brussels is About to Protect Citizens from Intelligence” with the AI lab 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:55] Q1 - Why do you think AI regulation prioritises limiting risks over promoting innovation and freedom of expression? How can governments balance security and privacy with technological innovation? ⏲️[05:13...
Apr 22, 2024•10 min
🔥 In this 'Hot Item', MEP Axel Voss (Germany, EPP) & the AI lab discuss his intentions to bring the creative industry and AI developers around the table in mid-April for a first exchange to gain a better understanding of the issues perceived on both sides 📌 Hot Item Highlights ⏲️[00:00] Intro ⏲️[00:53] MEP Axel Voss (Germany, EPP) ⏲️[09:51] Wrap-up & Outro 🗣️ The copyright problem was already discussed in a way five years ago, but now we have a new technology in place. (...) This prob...
Mar 28, 2024•11 min
🔍 In this TL;DR episode, Assistant Professor Nuno Sousa e Silva (Universidade Católica Portuguesa) discusses his recent Kluwer Copyright Blog contribution, “Are AI Models’ Weights Protected Databases?”, with the AI lab. 📌 TL;DR Highlights ⏲️[00:00] Intro ⏲️[01:41] Q1 - What are weights in an AI model? ⏲️[05:14] Q2 - Why could the EU Database Directive apply to AI models in certain cases, and what would the consequences be? ⏲️[09:23] Wrap-up & Outro 🗣️ Models are basically tools that human...
Mar 12, 2024•10 min
In this podcast Pamela Samuelson (UC Berkeley School of Law) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view 📌Episode Highlights ⏲️[00:00] Intro ⏲️[02:59] Q1 - The Deepdive: AI Decrypted | What significant practical obstacles in complying with a transparency obligation about copyrighted works in training data do you identify? ⏲️[10:50] Q2 - The Deepdive: AI Decrypted | Looking at the disassembly or tokenization in the training process, can you explain why “...
Jan 17, 2024•39 min•Ep. 6
In this podcast Andres Guadamuz (University of Sussex) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view 📌Episode Highlights ⏲️[00:00] Intro ⏲️[01:24] The TL;DR Perspective ⏲️[10:34] Q1 - The Deepdive: AI Decrypted | You look at the inputs and outputs of AI. For the inputs, the key question is: does mining data infringe copyright? For the outputs, the main question is: can derivative works infringe copyright and what role do exceptions play? ⏲️[20:28] Q2 - Th...
Nov 23, 2023•25 min•Ep. 5
🔥 In this 'Hot Item', Michiel Van Lerbeirghe (ML6) & the AI lab explore how the push for copyright transparency in the EU AI Act’s could impact smaller European AI providers and how we can move towards a practical solution 📌Hot Item Highlights ⏲️[00:00] Intro ⏲️[00:45] Michiel Van Lerbeirghe (ML6) ⏲️[08:28] Wrap-up & Outro 🗣️ Copyright protection is subjective: it is definitely not up to providers of foundation models to rule whether the criteria are met. However, under the current ve...
Nov 14, 2023•10 min
🔥 In this 'Hot Item', Brian Williamson (Communications Chambers) & the AI lab discuss the latest AI policy developments, from the U.K. AI Summit to the U.S. White House Executive Order on AI safety 📌Hot Item Highlights ⏲️[00:00] Intro ⏲️[00:33] Brian Williamson (Communications Chambers) ⏲️[12:25] Wrap-up & Outro 🗣️ We didn't seek to regulate computing or have a law of computing . We did focus on particular problems that arose over time, and computing led to a focus on data protection,...
Nov 09, 2023•13 min
🔥 In this 'Hot Item', Kai Zenner (Head of Office & Digital Policy Adviser for MEP Axel Voss) & the AI lab discuss the state-of-play of the EU AI Act trilogue negotiations 📌Hot Item Highlights ⏲️[00:00] Intro ⏲️[00:49] Kai Zenner (European Parliament) ⏲️[12:00] Wrap-up & Outro 🗣️ We do not have a lot of time left (...). There's a 50-50 chance (...) [We] really want this deal, because we don't believe that it would be a wise move to delay the adoption of the AI Act after the Europea...
Oct 19, 2023•13 min
