
Ep 79: Computational Antitrust: Can Algorithms Catch Algorithms?
this episode of In Conversation with IPR and Competition Law, we are joined by Dr. Alba Ribera Martínez — PhD, Lecturer in Digital Markets Regulation and Competition Law, Editor-in-Chief at Stanford Computational Antitrust, and contributor at The Binary Agora — for a deep dive into one of the most fascinating frontiers of modern competition law: Computational Antitrust.
As algorithms increasingly shape pricing, recommendations, market visibility, and platform behaviour, competition enforcement itself is entering a new technological era. This episode explores whether computational tools and AI-driven enforcement mechanisms can effectively detect anti-competitive conduct in digital markets — and whether algorithms can truly “catch” algorithms.
The conversation examines the rise of AI-powered market systems, tacit algorithmic collusion, self-preferencing by digital platforms, transparency concerns in automated enforcement, and the growing divide between technologically advanced regulators and developing competition authorities.
Fler avsnitt från "In Conversation With IPR and Competition Law"



Missa inte ett avsnitt av “In Conversation With IPR and Competition Law” och prenumerera på det i GetPodcast-appen.








