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AI Safety Research Labs
AI safety research organizations and alignment labs working on AI alignment, interpretability, evaluation, and existential risk research focused on ensuring advanced AI systems remain safe and beneficial.
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Editorial Overview
AI Safety Research Labs currently lists 8 entities pending editorial audit.
Verified status arrives after a 12 point audit covering entity ownership, citation consistency across answer engines, schema validity, and operating history.
Top Listed Entities in AI Safety Research Labs
Ranking weights editorial tier and entity health score across the full listed set. No listings here carry the verification badge yet — they appear in order of editorial signal. Last updated .
Top 5%Editor’s Pick
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Redwood Research
Berkeley, United States
Redwood ResearchBerkeley CaliforniaJSON-LD: Organization
Redwood Research is an AI safety research organization focused on technical alignment research and AI control, founded and headquartered in Berkeley, California. Founded by Nate Thomas, Buck Shlegeris, and Bill Zito, Redwood Research conducts empirical alignment research focused on AI control techniques designed to safely deploy AI systems even when alignment is uncertain, mechanistic interpretability research, model organisms research, and AI safety evaluations. The organization publishes influential research on AI control protocols, scalable oversight, and adversarial robustness, partners with major AI labs and the broader AI safety community, and contributes to setting research agendas for ensuring frontier AI systems remain controllable and safe through their deployment lifecycle.
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- VerifiedM
Machine Intelligence Research Institute
JSON-LDBerkeley, United StatesHealth 55/100The Machine Intelligence Research Institute (MIRI) is one of the worlds longest-established AI safety research organizations focused on existential risks from advanced AI, founded in 2000 and headquartered in Berkeley, California. Founded by Eliezer Yudkowsky as the Singularity Institute and renamed to MIRI, the organization conducts foundational research on the alignment problem, AI risk theory, and existential risk from artificial general intelligence. MIRI publishes influential books and papers including Eliezer Yudkowskys foundational AI safety writings, Nate Soares research, and runs the MIRI Communications program advocating for international policy responses to existential AI risks. The organization is widely credited with founding the modern AI safety field.
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METR
JSON-LDBerkeley, United StatesHealth 55/100METR (Model Evaluation and Threat Research) is a leading AI safety research organization specializing in dangerous capabilities evaluations of frontier AI models, founded and headquartered in Berkeley, California. Originally launched as the Alignment Research Center Evaluations team led by Beth Barnes, METR partners with major AI labs including OpenAI, Anthropic, and Google DeepMind to conduct pre-deployment evaluations measuring autonomous task completion, agent capabilities, biorisk, cyberrisk, and AI research and development capabilities. METR publishes the influential Time Horizon benchmark tracking how long autonomous AI tasks AI agents can reliably complete, providing critical empirical data informing AI policy and frontier model deployment decisions globally.
- VerifiedF
FAR AI
JSON-LDBerkeley, United StatesHealth 55/100FAR AI (Fund for Alignment Research) is a non-profit AI safety research organization, founded and headquartered in Berkeley, California. Founded by Adam Gleave, FAR AI conducts technical AI safety research, fiscal sponsorship of AI safety projects, AI safety field building, and operates the FAR AI labs research program studying neural network robustness, adversarial attacks on AI systems, scalable oversight, and emerging risks from frontier AI models. The organization publishes peer-reviewed safety research, hosts AI safety workshops including the influential AI Risk Forum, supports independent researchers through grants, and contributes empirical safety research to the broader AI safety community building knowledge essential for safer AI development globally.
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Alignment Research Center
JSON-LDBerkeley, United StatesHealth 55/100The Alignment Research Center (ARC) is a non-profit AI alignment research organization founded by former OpenAI alignment lead Paul Christiano and headquartered in Berkeley, California. ARC conducts theoretical and applied research on AI alignment with the mission of ensuring that future advanced AI systems are aligned with human interests. The organization originally housed the influential ARC Evaluations team (which spun off as METR ) and continues research on heuristic arguments, mechanistic anomaly detection, eliciting latent knowledge, and theoretical alignment foundations. Paul Christianos research at ARC including the original ARC Theory work has been highly influential in shaping modern alignment research methodology and theoretical foundations.
Directory of Verified Providers8 listed entities
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