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.

Om Podcasten

I talk with the smartest people I can find working or researching anywhere near the intersection of emerging technologies and their ethical impacts. From AI to social media to quantum computers and blockchain. From hallucinating chatbots to AI judges to who gets control over decentralized applications. If it’s coming down the tech pipeline (or it’s here already), we’ll pick it apart, figure out its implications, and break down what we should do about it.