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 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

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 togethe

🔍 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 Innov

🔍 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

🔍 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 Inte

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 t

🔍 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”, wit

🔍 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 unprotec

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 yo

🔍 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 promot