Data and algorithms are increasingly used in the criminal justice system, from tracking individuals with aerial cameras to deciding which defendants to release on bail. These developments offer the promise of greater efficiency and equity, but also pose significant challenges for traditional notions of privacy and fairness. This talk will describe several recent applications of algorithms in criminal justice, and discuss the subtle technical, ethical, and legal issues such technology raises.
Sharad Goel, Assistant Professor, Management Science & Engineering, and by courtesy Computer Science and Sociology, Stanford
Sharad Goel’s research focus is computational social science, with an emphasis on applying modern computational and statistical techniques to design public policy. His recent work includes looking at police discrimination, stop-and-frisk, swing voting, and media bias. He received a PhD in applied mathematics from Cornell.
OPEN TO STANFORD FACULTY, STUDENTS, AND AFFILIATES.