Monday, 12 October, 2020
AI@ SLU will host its next “Impacts of AI” seminar event from 3:30 to 4:30 p.m. on Monday, Oct. 12. The session is “Algorithms in Criminal Justice: problems with predictive policing,” presented by Sorelle Friedler, Ph.D., of Haverford College.
Algorithms are increasingly being used in high-stakes criminal justice settings. Predictive policing systems claim to be able to predict where crime will happen so that police can be deployed to a neighborhood to stop it. Previous work has shown that these systems are susceptible to feedback loops, where police are repeatedly sent back to the same neighborhoods. Why? What could be done to fix it? Should these algorithms be used? We’ll explore these questions by formally modeling the problem using urns and discuss whether it makes sense to use predictive policing at all.
Friedler is an associate professor of computer science at Haverford College and an affiliate at the Data and Society Research Institute. Her research focuses on the fairness and interpretability of machine learning algorithms, with applications from criminal justice to materials discovery. Friedler is a co-founder of the ACM Conference on Fairness, Accountability and Transparency (FAccT) and has received multiple grants for her work on preventing discrimination in machine learning. She serves as a member of Philadelphia’s pretrial reform research advisory council and is regularly consulted on the use of algorithms in the public sphere. Friedler holds a doctorate in computer science from the University of Maryland, College Park.