Antitrust and Artificial Intelligence - A Research Agenda

4 Pages Posted: 7 Jul 2017

See all articles by Nicolas Petit

Nicolas Petit

University of Liege - School of Law; Hoover Institution

Date Written: June 28, 2017

Abstract

This short paper provides an overview of the claims made in the emerging scholarship on artificial intelligence and antitrust policy. It discusses in particular the conjecture that markets will be rife with algorithmic collusion and extractive personalized pricing. It stresses the main methodological, theoretical and empirical limitations that underpin the claims made in the scholarship, and concludes with a call for evidenced-based antitrust policy.

Keywords: antitrust, competition law, artificial intelligence, algorithms, collusion, cartels, discrimination

JEL Classification: K21, K48, L40, K14, L40, L41

Suggested Citation

Petit, Nicolas, Antitrust and Artificial Intelligence - A Research Agenda (June 28, 2017). Available at SSRN: https://ssrn.com/abstract=2993855 or http://dx.doi.org/10.2139/ssrn.2993855

Nicolas Petit (Contact Author)

University of Liege - School of Law ( email )

B-4000 Liege
Belgium

Hoover Institution ( email )

Stanford, CA 94305
United States

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