Report of the 1st Workshop on Generative AI and Law
Abstract
This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw), held in July 2023. A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI, and by Generative AI for law, with an emphasis on U.S. law in particular. We begin the report with a high-level statement about why Generative AI is both immensely significant and immensely challenging for law. To meet these challenges, we conclude that there is an essential need for 1) a shared knowledge base that provides a common conceptual language for experts across disciplines; 2) clarification of the distinctive technical capabilities of generative-AI systems, as compared and contrasted to other computer and AI systems; 3) a logical taxonomy of the legal issues these systems raise; and, 4) a concrete research agenda to promote collaboration and knowledge-sharing on emerging issues at the intersection of Generative AI and law. In this report, we synthesize the key takeaways from the GenLaw workshop that begin to address these needs. All of the listed authors contributed to the workshop upon which this report is based, but they and their organizations do not necessarily endorse all of the specific claims in this report.
Cite
@article{arxiv.2311.06477,
title = {Report of the 1st Workshop on Generative AI and Law},
author = {A. Feder Cooper and Katherine Lee and James Grimmelmann and Daphne Ippolito and Christopher Callison-Burch and Christopher A. Choquette-Choo and Niloofar Mireshghallah and Miles Brundage and David Mimno and Madiha Zahrah Choksi and Jack M. Balkin and Nicholas Carlini and Christopher De Sa and Jonathan Frankle and Deep Ganguli and Bryant Gipson and Andres Guadamuz and Swee Leng Harris and Abigail Z. Jacobs and Elizabeth Joh and Gautam Kamath and Mark Lemley and Cass Matthews and Christine McLeavey and Corynne McSherry and Milad Nasr and Paul Ohm and Adam Roberts and Tom Rubin and Pamela Samuelson and Ludwig Schubert and Kristen Vaccaro and Luis Villa and Felix Wu and Elana Zeide},
journal= {arXiv preprint arXiv:2311.06477},
year = {2023}
}