Computable Law and Artificial Intelligence

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Harry Surden, University of Colorado Boulder, “Computable Law and Artificial Intelligence”
Monday, March 1, 2021 / 3:30 PM / FREE
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Abstract: Computable Law is the concept of representing law in computer-processable form. One major goal of computable law is to allow computers to assist in formulating, complying, and assessing compliance with legal obligations. Advances in artificial intelligence, computing, and the large volumes of real-world data now being captured in processable form have made this approach more feasible. Already we are seeing advances of computable law in areas such as computable contracting and compliance assessment.
This talk will explore the following topics related to computable law: What is computable law? Why would we want to represent law in computable form? Why wouldn't we want law to be represented computationally? What are the current technological limits related to computable law? What are the ethical and social concerns surrounding computable law.

Bio: Harry Surden is a Professor of Law at the University of Colorado Law School and affiliated faculty at the Stanford Center for Legal Informatics at Stanford University. His research focuses upon artificial intelligence and law (including machine learning and law), legal automation and informatics, and issues concerning self-driving/autonomous vehicles. Professor Surden has a background in computer science in addition to law. Prior to entering law, Professor Surden was a professional software engineer for Cisco Systems and Bloomberg Financial Markets. Professor Surden received his law degree from Stanford University and his undergraduate degree from Cornell University.