Panel Discussion: Navigating the Ethical Landscape: Responsible...
summary
Generative AI Commons reports over 100 active members across five workstreams running bi‑weekly meetings and is producing a responsible AI framework first draft by the August waypoint at Aid Hong Kong; the Open Voice Trust Mark initiative builds training and outreach on Linux Foundation edX; the Bloom project proves full‑pipeline openness—data curation, GPU counts, compute and carbon accounting—and exposes a Spanish dataset with >90% Spain sources; teams use internal review panels and model/data workstreams to vet risks, while recent supply‑chain attacks highlight the need for security.
AI-written summary · about
chapters (7)
- 0:00Panel introduction
- 9:00Collaborative AI challenges
- 16:53Open source transparency
- 24:19Guarding against bad actors
- 39:28Defining AI responsibility
- 43:26New licenses for responsible AI
- 48:28Closing remarks and Q&A
related talks
35mBOF: Trusted AI - Discussion of Model Evaluation Tools, Guidelines, and Geographic...
22mThe Role of Openness in Responsible AI
31mOpen-Source AI: Community is the Way.
17mLightning Talk: Navigating the Intersection: AI’s Role in Shaping the Secure Open Sour...
01h 16mLifting the Hood on Big AI - The Future of Transparency and Accountability in AI
29mFostering Responsible AI:Empowering Openness and Community Collaboration
13mKeynote: State of Open GenAI
40mThe Generative AI Commons: Unlocking Potential Through Collaboration and Transpare...
