SaferAI
A French nonprofit advancing AI risk management through quantitative risk models, company ratings, and standards work.
To advance responsible AI development by furthering risk management in policy and industry. SaferAI develops quantitative risk models that translate AI capabilities into real-world risk estimates, independently rates how well leading AI companies manage risk, and contributes to AI risk-management standards and policies.
AI areas they serve
Areas of Focus
Quantitative AI risk modeling
Risk-management ratings of frontier AI companies
AI risk-management standards (EU AI Act, NIST, OECD, ISO)
Frontier safety framework evaluation
Loss-of-control and CBRN risk modeling
AI accountability and transparency
AI Impact Areas
Upcoming Goals
Expand quantitative risk models to loss-of-control, CBRN, and other advanced risks
Strengthen the standard for how AI companies manage risk
Deepen contributions to EU, US, and OECD AI risk-management standards
Drive greater accountability and transparency across the AI industry
2024: Released its first ratings evaluating the risk-management practices of leading AI companies, endorsed by Yoshua Bengio
2023: Founded in France by Simeon Campos as an AI risk-management nonprofit
Recent Updates
2025 - New Executive Director Henry Papadatos. Flagship: independent ratings of frontier AI developers; EU AI Act Code of Practice.
The Case for European Investment in High-Risk, High-Reward AI Reliability Research
Safety Frameworks and Standards: A comparative analysis to advance risk management of frontier AI
Toward Quantitative Modeling of Cybersecurity Risks Due to AI Misuse
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