Big Data and the Law by Professor Omri Ben Shahar: Courts and Big Data
Co-organizers:
- School of Accounting and Finance, The Hong Kong Polytechnic University
- Law and Technology Centre, Faculty of Law, The University of Hong Kong
- School of Law, City University of Hong Kong
Date: November 9, 2017 (Thursday)
Time: 5:30pm – 7pm
Venue: Academic Conference Room, 11/F Cheng Yu Tung Tower, the University of Hong Kong
Speaker: Prof. Omri Ben-Shahar (Leo and Eileen Herzel Professor of Law; Kearney Director of the Coase-Sandor Institute for Law and Economics, University of Chicago)
All are welcome! For full details about the “Big Data and the Law” series, please see promotional brochure here.
Abstract: Can “Big Data” be used to resolve legal disputes? This lecture will examine how artificial intelligence can replace human intelligence. Can machine learning improve the administration of justice? Can crowd-sourcing replace legal reasoning? Can prediction models replace lawyers?
About the speaker: Omri Ben-Shahar is the Leo & Eileen Herzel Professor of Law at the University of Chicago Law School, and the Kearny Director of the Coase-Sandor Institute for Law and Economics. He earned his PhD in Economics and SJD from Harvard in 1995 and his BA and LLB from the Hebrew University in 1990. Ben-Shahar writes and teaches in the areas of contract law, consumer law, insurance law, trademark law, food law, and law-and-economics. From 2008 to 2016 he was the editor of the Journal of Legal Studies. Prior to joining the University of Chicago, Ben-Shahar was the Kirkland & Ellis Professor of Law and Economics at the University of Michigan (1998-2008), and an assistant professor of economics and law at Tel-Aviv University (1995-1998). Ben-Shahar is the co-author of “More Than You Wanted To Know: The Failure of Mandated Disclosure” (with Carl Schneider, Princeton Press 2014). Ben-Shahar is currently serving as a Reporter for the American Law Institute’s Restatement of the Law, Consumer Contracts (with Oren Bar-Gill and Florencia Marrota-Wurgler).
All are welcome! For full details about the “Big Data and the Law” series, please see promotional brochure here.
