“Artificial Intelligence and Competition Policy” features 20 essays by leading scholars and practitioners exploring the wide range of questions bearing on the implications of AI for the competitive process. This collection of essays is divided into three sections, providing a solid foundation to delve into the emerging subjects: “Market Dynamics, Mergers, and Partnerships in AI”, “AI Challenges for Competition Law”, and “Policy Responses to the AI Boom”.
This book offers a provocative look at key areas of competition-related AI scholarship. It serves as a valuable resource for legislators, policymakers, and enforcers to assess how competition law can be adapted to confront the challenges of AI.
With contributions from: Cora Allen, Jonathan Barnett, Christian Bergqvist, Oliver Budzinski, Yo Sop Choi, Diane Coyle, Daniel Crane, Hayane Dahmen, Stephen Dnes, Fausto Gernone, Teodora Groza, Aaron Hoag, William Lehr, Mariateresa Maggiolino, Godefroy de Boiscuillé, Tejas N. Narechania, Mark Niefer, Victoriia Noskova, Maureen Ohlhausen, Taylor Owings, Jennifer Pullen, Lazar Radic, Camilla Ringeling, Quentin B. Schäfer, Ganesh Sitaraman, Daniel Spulber, Volker Stocker, Kristian Stout, David Teece, Aleksandra Wierzbicka, John Yun and Laura Zoboli.
