Skip to main content
‹ Back to Episodes
Episode #12

Algorithmic Abolitionism

Humans are bad at making predictions, especially in a criminal justice setting. And it looks like AI can do better both from an accuracy and bias standpoint. So let’s replace human judges with AI. So argues professor of law Peter Salib in our fascinating discussion.

Peter Salib is an Assistant Professor of Law at the University of Houston Law Center and Associated Faculty in the Hobby School of Public Affairs. He writes and teaches about law and artificial intelligence. His scholarly work has been published in, among others, The University of Chicago Law Review, Northwestern University Law Review, Texas Law Review, and the Duke Law Journal Online. Before joining the University of Houston Law Center, Peter was a Climenko Fellow at Harvard Law School and a judicial clerk for the Honorable Frank H. Easterbrook. Before that, he practiced law at Sidley Austin, LLP, specializing in appellate litigation.