Legal and technical challenges of large generative AI models | ML Workshop

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Large Generative AI Models, such as ChatGPT, GPT-4 or Stable Diffusion, are revolutionizing the way we communicate, create, and work. They are rapidly and profoundly impacting all sectors of society, from business development to medicine, from education to research, and from coding to the arts. Like many other transformative technologies, they offer enormous potential, but may also carry significant risks regarding, inter alia, opacity, bias, or fake news.

Against this background, the workshop brings together leading scholars to discuss the far-reaching technical, legal, regulatory and social implications of recent advances in generative AI systems. The organizers acknowledge the generous support of the Dieter Schwarz Stiftung.

Curated by:
Philipp Hacker
Chair for Law and Ethics of the Digital Society, European New School of Digital Studies
European University Viadrina
Sarah Hammer
Excecutive Director
Wharton School

Speakers: 🎙
Rasmus Rothe
(Co-Founder & CTO, Merantix)

Frederik Zuiderveen Borgesius
(Professor of ICT and Law, Radboud University; Interdisciplinary Hub for Security, Privacy and Data Governance, Radboud University)

Lilian Edwards
(Professor of Law, Innovation & Society, Newcastle University)

Miriam Vogel
(Chair, US National AI Advisory Council; President and CEO, EqualAI)

Jeremias Adams-Prassl
(Professor of Law, Magdalen College, University of Oxford) (TBC)

Alexandre Zavaglia Coelho
(Fundação Getúlio Vargas, São Paulo)

Andreas Engel
(Postdoctoral Research Fellow, Faculty of Laws, University of Heidelberg)

Rishi Bommasani
(Stanford Center for Research on Foundation Models)

Ramayya Krishnan
(Dean, Heinz College of Information Systems and Public Policy; William W. and Ruth F. Cooper Professor of Management Science and Information Systems, CMU; Member, US National AI Advisory Council)

Rema Padman
(Trustees Professor of Management Science and Healthcare Informatics, Heinz College of Information Systems and Public Policy, Carnegie Mellon University; Thrust Leader of Healthcare Informatics Research, iLab; Research Area Director for Operations and Informatics, Center for Health Analytics, Heinz College, CMU; Adjunct Professor, Department of Biomedical Informatics at the University of Pittsburgh School of Medicine)

Sue Hendrikson
(Global Technology Governance Fellow, Berkman Klein Center for Internet & Society, Harvard; Lecturer, Harvard Law School)

Kai Zenner
(European Parliament)

Dora Kaufman
(Professor of Law; Instituto de Estudos Avançados; Intelligence Technologies and Digital Design Program, Universidade de São Paulo and Pontifícia Universidade Católica de São Paulo)

Orly Lobel
(Warren Distinguished Professor of Law, University of San Diego; Director, Center for Employment and Labor Policy)

Sandra Wachter
(Professor of Technology and Regulation, Oxford Internet Institute, University of Oxford)

Jonas Andrulis
(Founder & CEO/AI Customer, Aleph Alpha)

Brent Mittelstadt
(Oxford Internet Institute)

Michael Veale
(Associate Professor, Faculty of Laws, UCL)

Herbert Zech
(Chair of Civil Law, Technology and IT Law, Humboldt University of Berlin; Director, Weizenbaum Institute for the Networked Society)

Timestamps ⏱:
00:00 intro
0:07 Welcome Statement
1:00 Opening Remarks
6:09 Social and Legal Challenges of Generative AI: A Research Agenda
24:18 The AI Value Chain: Building Businesses with LLMs
53:10 Q&A Session
1:16:54 LGAIMs and Non-Discrimination Law
1:43:32 Contestation of LGAIM Output
2:09:02 Q&A Session
2:15:12 International Efforts to Regulate Generative AI: A conversation with Philipp Hacker and Brian Williams
2:35:07 Platforms and Worker Rights in the Age of LGAIMs
2:52:32 Generative AI and Legal Tech
3:14:23 Generative AI and Copyright
3:35:22 Q&A Session
3:58:08 Welcome Statement
4:01:05 Rishi Bommasani
4:20:48 The Future of Knowledge and Creative Work
4:46:58 Generative Medical AI
5:11:12 Q&A Session
5:39:41 Unraveling the Legal Landscape - Navigating AI Governance in the United States
6:05:06 The EU Regulatory Perspective on LGAIMs
6:33:00 Generative AI Regulation in Brazil
7:00:05 Q&A Session
7:29:18 Generative AI and Equality
8:01:00 LGAIMs and Transparency
8:28:36 Technical Transparency and the AtMan Model
8:42:43 Q&A Session
9:18:46 (Generative) AI and Finance
9:39:18 Generative AI Ethics
10:02:41 Q&A Session
10:21:09 Data Protection and LGAIMs
10:43:51 Generative AI and Patents
10:59:06 Q&A Session
11:23:39 Closing Statement: The Future of Generative AI and Regulation

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.