NYU Law Professor Catherine Sharkey provides guidance for how federal agencies can use AI to review regulations

Segal Family Professor of Regulatory Law and Policy Catherine Sharkey examined those questions in a report she prepared in May for the Administrative Conference of the United States (ACUS), an independent executive branch agency charged with issuing nonbinding recommendations to improve administrative and regulatory processes. Drawing on Sharkey’s report, on July 3, the ACUS published a recommendation in the Federal Register titled “Using Algorithmic Tools in Retrospective Review of Agency Rules.”