GPAI IP Project Advisory Committee's online workshop: Open-Source and Open Access Licensing in an AI Large Language Model (LLMs) World

To help advance responsible open source and open access AI model sharing, the GPAI IP Project Advisory Committee is holding this virtual workshop to examine the current state of such licensing, how it will apply to AI, the new specific licensing emerging, how new type of obligations can help to bring more safety and how can they or the license be enforceable and enforced, and how we can further collaboration to avoid the pitfall of proliferation of licenses.

Agenda

16:00 Presentation of Inria, GPAI, and IP Project Advisory Committee Co-Leads

Kaitlyn Bove, GPAI Project Manager, Inria

16:00 – 16:10 Welcome Remarks: Framing of the importance of open source to AI innovation and competition

Lee Tiedrich, Distinguished Faculty Fellow in Law and Responsible Technology, Duke University, and GPAI IP Committee Co-chair

16:10-16:50 How does open source licensing work for AI? Which elements will be made available under open source licensing? Is there any specific limitation? How will copyleft work for AI?

Moderator : Yann Dietrich, Head of IP, Atos and GPAI IP Committee Co-chair
McCoy Smith, Founding Attorney at Lex Pan Law
Yaniv Benhamou, Associate Professor (digital law) at the University of Geneva, Attorney-at-law of Intellectual Property & Privacy
Shun-Ling Chen, Associate Research Professor and Co-director, Information Law Center, Institutum Iurisprudentiae, Academia Sinica

16:50-17:50 What are the new open source and/or open access approaches for AI model licensing? How do they differ from current open source licenses discussed in the prior session?

Moderator : Jason Schultz, Professor of Clinical Law, Director of NYU's Technology Law & Policy Clinic, and Co-Director of the Engelberg Center on Innovation Law & Policy
Jenny Lee, General Counsel at Strong Arm Technologies and Chair of RAIL Initiative
Heather Meeker, Open Source Licensing Specialist
Sushupta Sudarshan, Assistant General Counsel, Intellectual Property at Northrop Grumman
Paul Gagnon, AI & Tech Attorney (Commercial, AI, IT, Data, IP)

17:50-18:50 How can open source licensing or new licenses help to advance trust, reliable, and safe AI? What new types of provisions should be considered? How can these licenses be enforced?

Moderator : Carlos Muñoz Ferrandis, Co-founder & COO of @ Stealth mode startup (LLM safety & governance)
Justin Colannino, Assistant General Counsel: Open Source, Standards, and Open ML
Luis Villa, Co-Founder and General Counsel at Tidelift
Elizabeth Seger, Director of digital policy at Demos
Martin Signoux, Public Policy Manager at Meta | XR and AI policy

18:50-19:35 With AI, is there a path to avoid proliferation of licenses?

Moderator : Lee Tiedrich, Distinguished Faculty Fellow in Law and Responsible Technology, Duke University, and GPAI IP Committee Co-chair
Catherine Stihler, Global open tech leader, partnership builder and public interest AI specialist; former Chief Executive Officer and President at Creative Commons
Stefano Maffulli, Executive Director of the Open Source Initiative
Peter Mattson, Senior Staff Engineer at Google, President of ML Commons

19:35-19:40 Closing remarks

Lee Tiedrich, Distinguished Faculty Fellow in Law and Responsible Technology, Duke University, and GPAI IP Committee Co-chair

This workshop is coordinated by GPAI Paris Expert Support Center at Inria.

Hosted by

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Luis Villa
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Sushupta Sudarshan
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Carlos Muñoz Ferrandis
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Kaitlyn Bove
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Yann Dietrich
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Julia Kreutzer
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Paul Gagnon
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McCoy Smith
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Martin Signoux
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Jason Schultz
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Heather Meeker
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Elizabeth Seger
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Stefano Maffulli
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Jenny Lee
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Peter Mattson
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Yaniv Benhamou
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Shun-Ling Chen
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Lee Tiedrich
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Justin Colannino
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Catherine Stihler
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Julia Savalli Chargée du Communication du Programme IA @ Inria