Fairness, Accountability, and Transparency: Lessons from predictive models in criminal justice
Speaker: Kristian Lum
Location: 60 Fifth Avenue 7th floor
Date: Dec. 4, 2019, 5:30 p.m.
The related topics of fairness, accountability, and transparency in predictive modeling have seen increased attention over the last several years. One application area where these topics are particularly important is criminal justice. In this talk, I will give an overview of my work in this area— spanning a critical look at predictive policing algorithms to the role of police discretion in pre-trial risk assessment models to a look behind the scenes at how risk assessment models are created in practice. Through these examples, I hope to demonstrate the importance of each of these concepts in predictive modeling in general and in the criminal justice system in particular.