Artificial Intelligence and Policing: Challenges in the United States
Seminar with Elizabeth Joh
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Police today increasingly rely on technologies of surveillance, data collection, inference, and prediction. These technologies include tools of collection, like body cameras and license plate readers, and the software to analyze that information, like video analytics and predictive policing. All of them share in common a reliance on artificial intelligence and enormous amounts of digitized data. We can refer to these tools broadly as “police surveillance technologies.” These police surveillance technologies pose significant legal and policy challenges that have outpaced many of the traditional methods of police regulation in the United States. This seminar offers a perspective on the diversity of regulatory and policy challenges, including questions of accountability, transparency, and private sector influence that exist because of the enormous market for these technologies.
Lesgever/spreker
Elizabeth Joh is a Professor of Law at the University of California, Davis School of Law, where she teaches and writes about policing, technology, privacy, and constitutional law. Professor Joh has written widely on matters of technology, policing, civil liberties, and privacy in national law reviews. She has also written commentary for The New York Times, Slate, the Los Angeles Times, Politico, and the Sacramento Bee. Professor Joh is a member of the American Law Institute, on the Advisory Board of EPIC, on the Faculty Advisory Board of the CITRIS Policy Lab at UC Berkeley, and an affiliate scholar with Stanford’s Center for Internet and Society. She is also a member of the University of California Presidential Working Group on Artificial Intelligence (2020-21). Since 2017, Professor Joh has co-hosted with producer and journalist Roman Mars a popular podcast on constitutional law called What Trump Can Teach Us About Con Law.
