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description=SaferAI is a governance and research non-profit focused on AI risk management. Our organisation, based in France, works to incentivize responsible AI practices.;

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saferai we use cookies to make your experience on this website better agree disagree about research ratings blog careers contact striving to ensure that ai technologies are safe more about us our mission we work across research and policy to make ai safer saferai is a french non profit furthering risk management in policy and industry we work to advance responsible ai development by modelling complex risks improving company practices and contributing to standards and policies our focus areas research we develop risk management frameworks that draw on tried and tested practices from other industries such as aviation or finance we aim to address the biggest gap in risk management by developing quantitative models that translate ai capabilities into real world risk estimates we ve completed nine cyber risk models and are expanding to cover loss of control cbrn threats and other advanced ai risks learn more about our research ratings accountability we independently evaluate and rate how well leading ai companies manage risks creating transparency that drives safer industry practices beyond public ratings we advise companies on developing robust safety frameworks and on integrating ai risk assessment into decision making our ratings also create market incentives for responsible ai development across the industry see our company ratings standards governance our team leads ai risk management standards development in the eu and serves as editors for international red teaming standards we actively shaped the eu s code of practice for general purpose ai models and advise ai safety institutes across the globe our work ensures regulatory frameworks are grounded in rigorous risk management and practical implementation experience explore our policy work our ratings we rate frontier ai companies on their risk management practices our framework evaluates ai companies across four key areas how they identify risks assess their severity implement safeguards and govern their systems find out more featured research see all 24 03 2026 memo the case for european investment in high risk high reward ai reliability research chloé touzet lily stelling bruno galizzi read more 10 12 2025 technical report toward quantitative modeling of cybersecurity risks due to ai misuse steve barrett malcolm murray otter quarks matthew smith jakub kryś siméon campos alejandro tlaie boria chloé touzet sevan hayrapet fred heiding omer nevo adam swanda jair aguirre asher brass gershovich eric clay ryan fetterman mario fritz marc juarez vasilios mavroudis henry papadatos read more 10 12 2025 paper a methodology for quantitative ai risk modeling malcolm murray steve barrett henry papadatos otter quarks matt smith alejandro tlaie boria chloé touzet siméon campos read more join us see opportunities we re hiring people who want to shape how ai is developed if rigorous research with direct policy impact excites you join our team see opportunities featured in time euractiv the guardian financial times techcrunch support our work donate here your donation directly funds independent research that shapes how ai is governed help us continue our mission to make ai systems more accountable and safer donate here saferai is a non profit organisation aiming to incentivize the development and deployment of safer ai systems through better risk management 2026 saferai a registered non profit reg no 919 185 199 00016 address 6 rue d armaillé 75017 paris france all rights reserved 2026 saferai a registered non profit reg no 919 185 199 00016 address 6 rue d armaillé 75017 paris france all rights reserved linkedin x contact safer ai org terms of service cookie policy designed by and now