AI lab by information labs

In this podcast Alina Trapova (UCL Faculty of Laws) & the AI lab ‘decrypt’ Artificial Intelligence from a policy making point of view

📌Episode Highlights
⏲️[00:00] Intro
⏲️[01:07] The TL;DR Perspective
⏲️[10:05] Q1 - The Deepdive: AI Decrypted | You consider that the way copyright relevant legislation is looked at currently by EU legislators benefits only a limited number of cultural industries. Can you expand on that?
⏲️[17:34] Q2 - The Deepdive: AI Decrypted | In the AI Act, the EP slid Article 28b sub 4c, relating to transparency. Knowing that it is not that obvious to identify what is copyrighted and what isn’t, do you think this can even be done?
⏲️[22:31] Q3 - The Deepdive: AI Decrypted | You encourage legislators to be cautious when looking at regulating an emerging digital technology. Where do you see a risk of using an elephant gun to kill a fly?
⏲️[26:47] Outro

📌About Our Guest
🎙️ Dr Alina Trapova | Lecturer in Intellectual Property Law, UCL Faculty of Laws
🐦 https://twitter.com/alinatrapova
🌐 European Parliament AI Act Position Put to Vote on 14 June, 2023
🌐 European Law Review [(2023) 48] | Copyright for AI-Generated Works: A Task for the Internal Market?
🌐 Kluwer Copyright Blog | Copyright for AI-Generated Works: A Task for the Internal Market?
🌐 Institute of Brand and Innovation Law (UCL, University College London)
🌐 Dr Alina Trapova

Dr Alina Trapova is a Lecturer in Intellectual Property Law at University College London (UCL) and a Co-Director of the Institute for Brand and Innovation Law. Alina is one of the Co-Managing editors at the Kluwer Copyright Blog. Prior to UCL, she worked as an Assistant Professor in Autonomous Systems and Law at The University of Nottingham (UK) and Bocconi University (Italy). Before joining academia, she has worked in private practice, as well as the EU Intellectual Property Office (EUIPO) and the International Federation for the Phonographic Industry (IFPI).

What is AI lab by information labs?

AI lab podcast, "decrypting" expert analysis to understand Artificial Intelligence from a policy making point of view.