Model Evaluation

Towards a Standard for Identifying and Managing Bias in Artificial Intelligence

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

AI Security Institute Frontier AI Trends Report

Starter Kit for Testing LLM-Based Applications for Safety and Reliability

Summary of Adding Structure to AI Harm

Classifying AI Systems

Model AI Governance Framework for Generative AI: Fostering a Trusted Ecosystem

AI Governance Testing Framework and Toolkit Summary Report: Binary Classification Model for Credit Risk

Responsible Scaling: Comparing Government Guidance and Company Policy

Summary of “Skating to Where the Puck is Going: Anticipating and Managing Risks from Frontier AI Systems”

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

Transforming risk governance at frontier AI companies

FLI AI Safety Index 2024

FLI AI Safety Index: Summer 2025

AI Safety Index Winter 2025

NIST RFI Response: Security Considerations for Artificial Intelligence Agents

The Future of Life Institute Recommendations for the AI Impact Summit

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

Key questions for the International Network of AI Safety Institutes

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

Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Guide to Evaluation Perspectives on AI Safety

Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems