Algorithms, Artificial Intelligence, and Antitrust: An Overview

• Pages: 1-10

FEBRUARY 2024

In This Issue

Editor’s Note: The February issue features articles on artificial intelligence and on FRAND, as well as two reviews: one of

a new economics book, and the other of two articles on antitrust and structural racism.

Algorithms, Artificial Intelligence, and Antitrust: An Overview

As artificial intelligence and sophisticated algorithms proliferate throughout the economy, Kirti Gupta and Avigail Kifer

consider the potential antitrust implications. The authors cover how these developments may impact antitrust thinking

on pricing, recommendation engines, and firm decision-making.

Book Review: Antitrust Economics at a Time of Upheaval: Recent Competition Policy Cases

on Two Continents

John Kwoka, Tommaso Valletti, and Lawrence White have edited this collection of essays from their fellow economists,

analyzing several significant cases covering mergers, dominance, and anticompetitive agreements. Professor David

Eggert dives in to provide a lively overview of the book’s essays, which are drawn from both sides of the Atlantic.

FRAND Remedies in China’s Merger Control: An Economic Perspective

Vanessa Yanhua Zhang, Richard Zhao, and Angela Gunn provide an overview on fair, reasonable, and non-discrimi-

natory (FRAND) principles and how they may be used to address competition concerns. The authors then examine the

extensive use of FRAND commitments by the competition regulators in China to resolve mergers.

Paper Trail: Recent Papers on Antitrust and Structural Racism

Matthew Moloshok reviews two recent legal articles exploring how antitrust may be able to address systemic rac-

ism. One article argues for applying Critical Race Theory to reimagine antitrust, while the other takes a more modest

approach in trying to redress societal barriers to economic opportunity.

The Antitrust Source— February 2024. © 2024 by the American Bar Association. All rights reserved. This information or any portion thereof

may not be copied or disseminated in any form or by any means or stored in an electronic database or retrieval system without the express

written consent of the American Bar Association.

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