The Generative AI Commons: Unlocking Potential Through Collaboration and Transpare...
summary
Generative AI Commons describes a concrete Model Openness Framework that grades model distributions by 17 components across code, data and documentation and sorts releases into three openness classes (Class 3 permissive to Class 1 reproducible). It publishes a Model Openness Tool—an online registry to evaluate models against MOF—and a Responsible Generative AI Framework with nine dimensions; the community counts ~200 members from ~80 organizations and runs webinars, work streams and public registries.
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chapters (20)
- 0:00Introduction
- 1:05What is GenAI Commons
- 2:31Mission and community
- 3:34Sharing info and guests
- 4:57Webinars and resources
- 6:24Three work streams
- 9:13Model Openness Framework intro
- 10:58Open model challenges
- 14:32Model Openness Framework explained
- 20:12Reproducibility vs open source
- 22:39Model Openness Tool demo
- 24:03Responsible AI overview
- 26:36Nine dimensions of RAI
- 28:42Next steps for RAI
- 30:07Community engagement
- 31:30Q&A
- 33:16Licensing debate in AI
- 35:27OSI’s role in open AI
- 38:20Definition of transparency
- 40:04Closing remarks
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