This paper explores patterns from the Stanford Computational Antitrust project’s fourth annual report, which includes contributions from 25 agencies worldwide. The findings reveal that most agencies are converging around similar technological solutions, particularly large language models and machine learning tools, and face common challenges related to explainability, data security, and organizational adaptation. The analysis suggests...Read More
Platforms collect valuable data that they do not share. Welfare then suffers as information asymmetry produces market failures. Current proposals to address this, however, fail because they grant access to an entity’s own data but not the context within which it functions. We propose a novel solution, the in-situ data right, that gives users privacy...Read More
