Algorithms, Collusion and Competition Law

Reviews / Votes

'This book is essential reading for those with an interest in algorithmic collusion, or competition and technology more generally. I would also recommend it to those who have limited knowledge of this area of competition scholarship and feel overwhelmed by the sheer volume of existing literature available. This collection is an excellent starting point, as the early chapters are written in a very clear and accessible style. They do an excellent job of explaining the main issues and critically summarising and discussing the previous literature, setting the scene for the original contributions that follow.' -- Andreas Stephan, Competition Policy Blog 'This unique book offers a window into the fascinating world of algorithmic collusion. Several contributions assess how this new phenomenon is dealt with under the laws of various jurisdictions (Australia, China, India, Japan and the EU). That alone would make the book worth the read, but there is more. Another chapter dives deep into the algorithms used by Uber and Amazon and draws implications on the likelihood of competition law infringements. Yet another chapter shares the results of a screening exercise for algorithmic collusion in Singapore. Together, the chapters in this book reflect the great diversity and originality of research into this topic, and take the reader on a wonderful journey through this novel area of competition law.' -- Simon Vande Walle, The University of Tokyo, Japan 'In many online markets, prices are set in an automated manner by algorithms, which raises significant competitive concerns and numerous competition law issues, in particular the danger of collusive behaviour of algorithms. This collection of essays provides an excellent overview of the key economic and legal aspects of algorithmic collusion, as well as the approaches taken in different jurisdictions to address this problem. It is a valuable volume that should be consulted by all interested in algorithmic collusion and its economic and competition law aspects.' -- Ulrich Schwalbe, University of Hohenheim, Germany. 'This collection of essays helps to improve our understanding across AI collusion.' -- D. Daniel Sokol, USC Gould School of Law and Marshall School of Business, US