The Role of Openness in Responsible AI
summary
Generative AI Commons reports 200+ active members from 80+ organizations and lays out a Model Openness Framework that breaks a model into 17 lifecycle components and checks licenses per component using OSI approved licenses for code, CDLA for structured data and CC‑BY for documents. Models map to three openness classes including Class 3+ when training and inference code are open. A self‑reported Model Openness Tool generates a class and the group seeks a Hugging Face sandbox to scale verification.
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chapters (17)
- 0:00Open vs closed AI debate
- 1:24Generative AI Commons intro
- 3:13GAC vision and structure
- 4:39MAF data workstream
- 5:22Responsible AI framework
- 5:42Education and outreach
- 6:23Open source AI benefits
- 7:28Open washing defined
- 9:17Model Openness Framework
- 11:24Model openness levels
- 12:52Model Openness Tool demo
- 13:58OSI open source AI
- 15:06Co-designing open AI
- 16:30Modifying AI systems
- 18:15AI training data challenges
- 19:39Next steps for open AI
- 20:22Call to action
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