Series

What Can Policymakers Do About Algorithmic Collusion and Discrimination?

Maurice Stucke explains three policy approaches to algorithmic collusion and discrimination, and makes the case for a broader ecosystem approach that addresses not only the shortcomings of current antitrust law and merger review, but extends beyond them for a comprehensive policy response to the many risks associated with artificial intelligence.

Address Algorithmic Collusion with Compliance by Design

Daryl Lim explains that while there is some evidence that pricing algorithms facilitate collusion, there are reasons to be skeptical of their effectiveness. Lim advocates for compliance by design: firms should create algorithms that don’t collude on price, comply with reporting their algorithms transparently, and know that they will be held responsible for the actions the algorithm takes.

Can Computational Tools Revitalize Antitrust Enforcement?

Companies increasingly use sophisticated computational tools to compete, particularly in digital markets. Giovanna Massarotto outlines how antitrust agencies must similarly modernize and adopt advanced technologies to address complex antitrust enforcement challenges effectively and remain relevant.

AI For the Antitrust Regulator

Cary Coglianese lays out the potential, and the considerations, for antitrust regulators to use machine learning and artificial intelligence algorithms.

Algorithmic Collusion in the Housing Market

While the development of artificial intelligence has led to efficient business strategies, such as dynamic pricing, this new technology is vulnerable to collusion and consumer harm when companies share the same software through a central platform. Gabriele Bortolotti highlights the importance of antitrust enforcement in this domain for the second article in our series, using as a case study the RealPage class action lawsuit in the Seattle housing market.

The Impact of Algorithms on Competition and Competition Law

Antonio Capobianco, the deputy head of the OECD Competition Division and one of the authors of the 2023 OECD report on algorithmic competition and collusion, explains the risks that algorithms and artificial intelligence pose to competition and how regulators can approach the changing competition paradigm.

The Consumer Welfare Standard is Too Tainted

The Stigler Center’s 2023 Antitrust and Competition conference seeks to answer the question: what lays beyond the consumer welfare standard? In advance of the discussions, ProMarket is publishing a...

Show Your Work: Meaningful Disclosure and Antitrust Enforcement Goals

The Stigler Center’s 2023 Antitrust and Competition conference seeks to answer the question: what lays beyond the consumer welfare standard? In advance of the discussions, ProMarket is publishing a...

Toward a Market Power Standard for Merger Review

The Stigler Center’s 2023 Antitrust and Competition conference seeks to answer the question: what lays beyond the consumer welfare standard? In advance of the...

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