BOF: Trusted AI - Discussion of Model Evaluation Tools, Guidelines, and Geographic...
summary
Generative AI Commons runs a Responsible AI workstream producing a Responsible AI framework paper with named sections needing volunteers, weekly bi‑weekly meetings at 7:00 a.m. PST, and a May 1 town hall on the Model Openness Framework (MAF). Contributors already link into NIST AISIC — a consortium of ~200 entities with 15 task forces expecting ~1 day/week commitment — and reuse Bo Lee’s Decoding Trust scripts for automated model checks across robustness, bias, toxicity and transparency.
AI-written summary · about
chapters (5)
- 0:00Trusted AI BOF intro
- 3:16Generative AI Commons overview
- 14:43Responsible AI goals
- 20:08Join the community
- 28:16Next steps & Q&A
related talks
49mPanel Discussion: Navigating the Ethical Landscape: Responsible...
37mTrusted and Responsible AI (Explainability, Adversarial, Bias, Fairness)
17mLightning Talk: Navigating the Intersection: AI’s Role in Shaping the Secure Open Sour...
26mBuilding ethical AI: Transparency, bias mitigation, and trust
50mSecurity as Part of Responsible AI: At Home or At Odds?
33mAI sovereignty, provenance and compliance
26mOpen Source Tools To Empower Ethical and Robust AI Systems
38mTrustworthy AI: The Key to Unlocking High-Stakes Applications
