Report of the 1st Workshop on Generative AI and Law
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 Generativ...
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creator | A Feder Cooper Lee, Katherine Grimmelmann, James Ippolito, Daphne Callison-Burch, Christopher Choquette-Choo, Christopher A Mireshghallah, Niloofar Brundage, Miles Mimno, David Choksi, Madiha Zahrah Balkin, Jack M Carlini, Nicholas De Sa, Christopher Frankle, Jonathan Ganguli, Deep Gipson, Bryant Guadamuz, Andres Harris, Swee Leng Jacobs, Abigail Z Joh, Elizabeth Kamath, Gautam Lemley, Mark Matthews, Cass McLeavey, Christine McSherry, Corynne Nasr, Milad Ohm, Paul Roberts, Adam Rubin, Tom Samuelson, Pamela Schubert, Ludwig Vaccaro, Kristen Villa, Luis Wu, Felix Zeide, Elana |
description | 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. |
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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.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Artificial intelligence ; Generative artificial intelligence ; Knowledge bases (artificial intelligence) ; Knowledge management ; Legal issues ; Legislation ; Taxonomy ; Workshops</subject><ispartof>arXiv.org, 2023-12</ispartof><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780</link.rule.ids></links><search><creatorcontrib>A Feder Cooper</creatorcontrib><creatorcontrib>Lee, Katherine</creatorcontrib><creatorcontrib>Grimmelmann, James</creatorcontrib><creatorcontrib>Ippolito, Daphne</creatorcontrib><creatorcontrib>Callison-Burch, Christopher</creatorcontrib><creatorcontrib>Choquette-Choo, Christopher A</creatorcontrib><creatorcontrib>Mireshghallah, Niloofar</creatorcontrib><creatorcontrib>Brundage, Miles</creatorcontrib><creatorcontrib>Mimno, David</creatorcontrib><creatorcontrib>Choksi, Madiha Zahrah</creatorcontrib><creatorcontrib>Balkin, Jack M</creatorcontrib><creatorcontrib>Carlini, Nicholas</creatorcontrib><creatorcontrib>De Sa, Christopher</creatorcontrib><creatorcontrib>Frankle, Jonathan</creatorcontrib><creatorcontrib>Ganguli, Deep</creatorcontrib><creatorcontrib>Gipson, Bryant</creatorcontrib><creatorcontrib>Guadamuz, Andres</creatorcontrib><creatorcontrib>Harris, Swee Leng</creatorcontrib><creatorcontrib>Jacobs, Abigail Z</creatorcontrib><creatorcontrib>Joh, Elizabeth</creatorcontrib><creatorcontrib>Kamath, Gautam</creatorcontrib><creatorcontrib>Lemley, Mark</creatorcontrib><creatorcontrib>Matthews, Cass</creatorcontrib><creatorcontrib>McLeavey, Christine</creatorcontrib><creatorcontrib>McSherry, Corynne</creatorcontrib><creatorcontrib>Nasr, Milad</creatorcontrib><creatorcontrib>Ohm, Paul</creatorcontrib><creatorcontrib>Roberts, Adam</creatorcontrib><creatorcontrib>Rubin, Tom</creatorcontrib><creatorcontrib>Samuelson, Pamela</creatorcontrib><creatorcontrib>Schubert, Ludwig</creatorcontrib><creatorcontrib>Vaccaro, Kristen</creatorcontrib><creatorcontrib>Villa, Luis</creatorcontrib><creatorcontrib>Wu, Felix</creatorcontrib><creatorcontrib>Zeide, Elana</creatorcontrib><title>Report of the 1st Workshop on Generative AI and Law</title><title>arXiv.org</title><description>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. 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A</au><au>Mireshghallah, Niloofar</au><au>Brundage, Miles</au><au>Mimno, David</au><au>Choksi, Madiha Zahrah</au><au>Balkin, Jack M</au><au>Carlini, Nicholas</au><au>De Sa, Christopher</au><au>Frankle, Jonathan</au><au>Ganguli, Deep</au><au>Gipson, Bryant</au><au>Guadamuz, Andres</au><au>Harris, Swee Leng</au><au>Jacobs, Abigail Z</au><au>Joh, Elizabeth</au><au>Kamath, Gautam</au><au>Lemley, Mark</au><au>Matthews, Cass</au><au>McLeavey, Christine</au><au>McSherry, Corynne</au><au>Nasr, Milad</au><au>Ohm, Paul</au><au>Roberts, Adam</au><au>Rubin, Tom</au><au>Samuelson, Pamela</au><au>Schubert, Ludwig</au><au>Vaccaro, Kristen</au><au>Villa, Luis</au><au>Wu, Felix</au><au>Zeide, Elana</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Report of the 1st Workshop on Generative AI and Law</atitle><jtitle>arXiv.org</jtitle><date>2023-12-03</date><risdate>2023</risdate><eissn>2331-8422</eissn><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.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Artificial intelligence Generative artificial intelligence Knowledge bases (artificial intelligence) Knowledge management Legal issues Legislation Taxonomy Workshops |
title | Report of the 1st Workshop on Generative AI and Law |
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