Artificial Intelligence and Antitrust in a Post-Qualcomm World

Competition Policy International Antitrust Chronicle, December 2020

9 Pages Posted: 26 Feb 2021

See all articles by Daryl Lim

Daryl Lim

Pennsylvania State University, Dickinson Law; Fordham University - Fordham Intellectual Property Institute

Date Written: December 21, 2020

Abstract

The questions in FTC v. Qualcomm are consequential in setting competitive norms in an economy anxious about the exercise of market power. Like many other antitrust cases, this one shows symptoms of antitrust law’s inherent vulnerability to ideology stampeding facts and data. Seen as an algorithm, antitrust has had patches and updates over the years. Still, few have recognized the breadth and depth of transformation artificial intelligence (“AI”) can bring to antitrust adjudication. AI enables courts to better render evidence-based decisions. As a tool, it is non-ideological and enables courts to minimize ideological stampeding. As a powerful new partner in making sense of the complex, dynamic, and fast-moving licensing markets many businesses operate in, courts and agencies can harness its ability to model price and innovation effects more precisely. There are challenges to implementing AI with data accountability, data availability, and data bias. These challenges can be addressed. The time to retool antitrust is now.

Suggested Citation

Lim, Daryl, Artificial Intelligence and Antitrust in a Post-Qualcomm World (December 21, 2020). Competition Policy International Antitrust Chronicle, December 2020, Available at SSRN: https://ssrn.com/abstract=3753624

Daryl Lim (Contact Author)

Pennsylvania State University, Dickinson Law ( email )

150 S College St
Carlisle, PA 17013
United States

HOME PAGE: http://lawdaryl.com

Fordham University - Fordham Intellectual Property Institute ( email )

150 West 62nd Street, Rm 7-145
New York, NY 10023
United States

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