Senior Consultants Emilie Feyler and Dr. Veronica Postal discuss their article “Can Self-Preferencing Algorithms Be Procompetitive? A Review of the Economics Literature” in the ABA podcast “Our Curious Amalgam.” They examine the implications of self-preferencing in digital markets, especially in relation to antitrust laws.

The conversation covers key and unexpected findings from the economic literature on self-preferencing. The discussion also includes insights into how recent advancements in deep learning technologies might influence the future understanding and analysis of self-preferencing behaviors.

For more information and to listen to this episode, visit the podcast website here. You can also listen on Apple Podcast, Google Podcast, Stitcher, and Spotify.