From the Dark Side to the Bright Side: Exploring Algorithmic Antitrust Compliance

Posted: 5 Mar 2019 Last revised: 24 Aug 2020

See all articles by Ai Deng

Ai Deng

NERA Economic Consulting; Johns Hopkins University

Date Written: January 12, 2020

Abstract

If pricing algorithms could autonomously collude, can they be made automatic antitrust compliant as well? That is the question many have started pondering after a series of public comments by EU competition officials in recent years. In this paper, I propose a multi-faceted approach to algorithmic compliance. I draw lessons from the recent AI literature and discuss some potential technical frameworks for compliant algorithmic design. [Note: this paper is being superceeded by my chapter on algorithmic collusion and compliance for the Report on Digital Economy to be published by the Global Antitrust Institute at George Mason law.]

Keywords: algorithmic pricing, algorithmic collusion, artificial intelligence, antitrust, compliance by design, explainable AI

Suggested Citation

Deng, Ai, From the Dark Side to the Bright Side: Exploring Algorithmic Antitrust Compliance (January 12, 2020). Available at SSRN: https://ssrn.com/abstract=3334164 or http://dx.doi.org/10.2139/ssrn.3334164

Ai Deng (Contact Author)

NERA Economic Consulting ( email )

1255 23rd Street, NW, Suite 600
Washington, DC 20037
United States

Johns Hopkins University ( email )

1717 Massachusetts Ave NW
Washington, DC DC 20036
United States

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