Posted by Social Science Research Network
Artificial Intelligence & Collusion: When Computers Inhibit Competition Ariel Ezrachi (University of Oxford) & Maurice E. Stucke (University of Tennessee)
Abstract: One may find it hard to imagine life without the power of computers. Indeed, all areas of our livelihood are affected and have benefited from technological development and an increasingly powerful computerised environment. In line with these developments, recent years have witnessed an ever increasing reliance on big data and big analytics and investment in the development of ‘smart’, ‘self-learning’ machines. These complex machines are set to assist in decision making, prediction, planning, trade, and logistics. They are also predicted to further enhance our more immediate living environment – the way we commute, shop and communicate.
Not surprisingly, the prospect of Artificial Intelligence (AI) has long fueled human imagination. The development of self-learning and independent computers raises challenging questions as to the future of the human race and the control, or lack of it, humans would exert over machines.
Interestingly, these developments and the challenges raised by them are also relevant to the area of antitrust enforcement. Sophisticated computers are central to the competitiveness of present and future markets. With the accelerating development of AI, they are set to change the competitive landscape and the nature of competition restraints, which enforcement agencies will need to tackle.
Featured News
Massachusetts AG Sues Insulin Makers and PBMs Over Alleged Price-Fixing Scheme
Jan 14, 2025 by
CPI
Apple and Amazon Avoid Mass Lawsuit in UK Over Alleged Collusion
Jan 14, 2025 by
CPI
Top Agent Network Drops Antitrust Suit Against National Association of Realtors
Jan 14, 2025 by
CPI
Weil, Gotshal & Manges Strengthens Antitrust Practice with New Partner
Jan 14, 2025 by
CPI
Russian Court Imposes Hefty Fine on Google for Non-Compliance with Content Removal Orders
Jan 14, 2025 by
CPI
Antitrust Mix by CPI
Antitrust Chronicle® – CRESSE Insights
Dec 19, 2024 by
CPI
Effective Interoperability in Mobile Ecosystems: EU Competition Law Versus Regulation
Dec 19, 2024 by
Giuseppe Colangelo
The Use of Empirical Evidence in Antitrust: Trends, Challenges, and a Path Forward
Dec 19, 2024 by
Eliana Garces
Some Empirical Evidence on the Role of Presumptions and Evidentiary Standards on Antitrust (Under)Enforcement: Is the EC’s New Communication on Art.102 in the Right Direction?
Dec 19, 2024 by
Yannis Katsoulacos
The EC’s Draft Guidelines on the Application of Article 102 TFEU: An Economic Perspective
Dec 19, 2024 by
Benoit Durand