Andrew D. Selbst

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About

Andrew D. Selbst is a leading scholar at the intersection of law, technology, and artificial intelligence, with a primary focus on how legal frameworks—particularly tort and negligence law—must evolve to address the unique challenges posed by AI systems. His most-cited work, "Negligence and AI's Human Users" (2019, 32 citations), makes a foundational contribution by systematically analyzing how traditional negligence doctrines struggle to accommodate AI's opacity, unpredictability, and distributed responsibility. Drawing on vivid examples from medicine, financial advice, data security, and semi-autonomous driving, Selbst demonstrates that AI does not simply present new factual scenarios for old rules; it fundamentally disrupts the assumptions underlying liability for human users. This work has shaped legal scholarship on AI accountability and is frequently cited in debates about regulatory reform. Beyond this paper, Selbst is known for his broader contributions to algorithmic fairness, data governance, and the critical examination of how legal institutions can—and often fail to—respond to technological change. His research is essential reading for anyone studying the legal dimensions of AI, offering both rigorous doctrinal analysis and a clear-eyed view of the policy challenges ahead.