Anat Lior

Online
Essay
Holding AI Accountable: Addressing AI-Related Harms Through Existing Tort Doctrines
Anat Lior
Anat Lior is an assistant professor at Drexel University’s Thomas R. Kline School of Law, an AI Schmidt affiliated Scholar with the Jackson School at Yale, and an affiliated fellow at the Yale Information Society Project. Her research focuses on Artificial Intelligence and its interaction with tort law, insurance law, and antitrust law. She commonly confronts issues such as AI regulation and policy, AI liability, and insurance as applied to emerging technologies.

She would like to thank Asaf Lubin, Jessa Feiler, and the participants of “How AI Will Change the Law” symposium for their helpful comments.

This paper examines the distinct features of artificial intelligence (AI) and reaches a broader conclusion as to the availability and applicability of first-order tort rules. It evaluates the accuracy of the argument that AI is similar in essence to other emerging technologies that have entered our lives since the First Industrial Revolution and, therefore, does not require special legal treatment. The paper will explore whether our current tort doctrines can serve us well even when addressing AI liability.

Machine Learning Technology

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