Andrew Selbst, a Data & Society affiliate, is an assistant professor of law at UCLA School of Law. His research examines the relationship between law, technology, and society. Drawing on resources from computer science, critical theory, sociology, and science, technology and society, he seeks to understand how the creation, use, and proliferation of different technologies can interfere with existing legal regimes, and how legal actors can most usefully anticipate or respond to the social effects of new technology. Over the last several years, Selbst’s research has focused on the effects of machine learning and artificial intelligence on varied legal regimes, including discrimination, policing, credit regulation, data protection, and tort law.

Previously, Selbst was a visiting researcher at Georgetown University Law Center and a scholar in residence at the Electronic Privacy Information Center. Earlier, he was a senior associate at Hogan Lovells, a Supreme Court Assistance Project fellow at Public Citizen, and a privacy research fellow at NYU’s Information Law Institute. He clerked for Hon. Jane R. Roth of the US Court of Appeals for the Third Circuit, and Hon. Dolly M. Gee of the US District Court of the Central District of California. Selbst earned his J.D. at the University of Michigan Law School and holds M.Eng. and S.B. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology.