Report of the 1st Workshop on Generative AI and Law
Abstrak
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.
Topik & Kata Kunci
Penulis (35)
A. Feder Cooper
Katherine Lee
James Grimmelmann
Daphne Ippolito
Christopher Callison-Burch
Christopher A. Choquette-Choo
Niloofar Mireshghallah
Miles Brundage
David Mimno
Madiha Zahrah Choksi
Jack M. Balkin
Nicholas Carlini
Christopher De Sa
Jonathan Frankle
Deep Ganguli
Bryant Gipson
Andres Guadamuz
Swee Leng Harris
Abigail Z. Jacobs
Elizabeth Joh
Gautam Kamath
Mark Lemley
Cass Matthews
Christine McLeavey
Corynne McSherry
Milad Nasr
Paul Ohm
Adam Roberts
Tom Rubin
Pamela Samuelson
Ludwig Schubert
Kristen Vaccaro
Luis Villa
Felix Wu
Elana Zeide
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓