Model lifecycle, model cards, and documentation practices
Newest first ยท 8 reviewed on this page
Search insteadSayash Kapoor, Rishi Bommasani, Kevin Klyman +2
Analyzes the societal impacts of open-weight foundation models, including security implications of open vs closed model access.
OWASP Foundation, Sandy Dunn, Jackie McGuire
Practical checklist for organizations deploying LLMs covering security, governance, legal, and regulatory considerations with actionable steps.
Anthropic
Framework defining AI Safety Levels (ASL) for evaluating and managing risks from increasingly capable AI systems.
European Parliament
The EU's comprehensive AI regulation establishing risk-based categories, conformity assessments, and requirements for high-risk AI systems.
National Institute of Standards and Technology
Voluntary framework for managing risks in AI systems across the lifecycle, organized into Govern, Map, Measure, and Manage functions.
International Organization for Standardization
International standard specifying requirements for establishing, implementing, maintaining and continually improving an AI management system within organizations.
OpenAI
OpenAI's approach to tracking, evaluating, forecasting, and protecting against catastrophic risks of frontier AI models.
Cybersecurity and Infrastructure Security Agency
CISA's strategic roadmap for AI covering responsible use, assuring AI systems, securing AI adoption, and collaborating on AI governance.