AI Risk & Reliability - MLCommons
Support community development of AI risk and reliability tests and organize definition of research- and industry-standard AI safety benchmarks based on those tests.
AI Risk & Reliability - MLCommons Skip to content Search AI Risk & Reliability Support community development of AI risk and reliability tests and organize definition of research- and industry-standard AI safety benchmarks based on those tests. Join the Working Group Connect with us: GitHub Discord Purpose Our goal is for these benchmarks to guide responsible development, support consumer / purchase decision making, and enable technically sound and risk-based policy negotiation. Deliverables We are a community based effort and always welcome new members. There is no previous experience or educa
saved by
related reading
- CS120: Introduction to AI Safetyweb.stanford.edu
- GitHub - suzana-ilic/study_model_behavior: Model Behavior Study Groupgithub.com
- Recommendations for Technical AI Safety Research Directionsalignment.anthropic.com
- Research Areas in Benchmark Design and Evaluation (The Alignment Project by UK AISI) — AI Alignment Forumalignmentforum.org
- Ten AI safety projects I'd like people to work onthirdthing.ai
- Toward A Public Science of Model Behavior | Transluce AItransluce.org
- Field map – AISafety.comaisafety.com
- Introducing the Conceptual Reasoning Indexalignment.anthropic.com
- [2004.07213] Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claimsarxiv.org
- Field map – AISafety.comaisafety.com
- NVIDIA AI Red Team: An Introduction | NVIDIA Technical Blogdeveloper.nvidia.com
- RESI Overviewresi.org