Knowledge Base
The AI Safety Knowledge Base is a comprehensive resource covering risks, interventions, organizations, researchers, and key concepts in the field. Browse by category below or use search to find specific topics.
Core Framework
Section titled “Core Framework”The analytical backbone: parameters are societal variables that risks decrease and responses increase.
Analysis & Uncertainty
Section titled “Analysis & Uncertainty”Tools for understanding: models formalize reasoning, cruxes identify key disagreements.
Field Reference
Section titled “Field Reference”Who’s working on what: organizations, researchers, funders, and current AI capabilities.
Context & Resources
Section titled “Context & Resources”Background material: history, key readings, metrics, and how this knowledge base is structured.
Recently Updated
Section titled “Recently Updated”Explore by Topic
Section titled “Explore by Topic”Quick Links
Section titled “Quick Links”- Browse All Entities - Searchable database of all 147 entries
- Browse by Tag - Find entries by topic
- Risk Overview - All documented risks with severity ratings
- Key Debates - Compare different positions and approaches
About This Knowledge Base
Section titled “About This Knowledge Base”This knowledge base aims to provide:
- Neutral documentation of different perspectives and approaches
- Structured data enabling cross-references and discovery
- Living resource updated as the field evolves
- Interconnected entries with backlinks showing relationships
Each entry includes metadata, related topics, and links to other relevant entries. Use the “Related Pages” sections to explore connections between concepts.