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