AI Safety

Strengthening Resilience to AI Risk: A guide for UK policymakers

Scheming in the wild: Detecting real-world AI scheming incidents with open-source intelligence

Transforming risk governance at frontier AI companies

Why frontier AI safety frameworks need to include risk governance

Strategic Visions in AI Governance: Mapping Pathways to Victory

AI Fact Sheet for the UN Global Dialogue on AI Governance

AI Governance Scorecard and Safety Standards Policy

FLI AI Safety Index 2024

FLI AI Safety Index: Summer 2025

AI Safety Index Winter 2025

Recommendations for the U.S. AI Action Plan: The Future of Life Institute proposal for President Trump’s AI Action Plan

The Future of Life Institute Recommendations for the AI Impact Summit

Evaluation Awareness: Why Frontier AI Models Are Getting Harder to Test

AI-relevant regulatory precedents: A systematic search across all federal agencies

Key questions for the International Network of AI Safety Institutes

PAI’s Guidance for Safe Foundation Model Deployment: A Framework for Collective Action

Response to the NIST RFI on Auditing, Evaluating, and Red-Teaming AI Systems

Guide to Evaluation Perspectives on AI Safety

AI Safety Index

AI Security Institute Frontier AI Trends Report

Risks and Controls for Multi-Agent Systems: An Analytical Framework for Deployment Across Organisational Boundaries

The AI Risk Repository: A Meta-Review, Database, and Taxonomy of Risks from Artificial Intelligence

Forecasting AI Cyber Risks and Capabilities: Results of a 2025 Pilot Study

State of AI Safety in China (2026)