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Explore 8 AI Safety Research Labs entities audited against our 19-year editorial standard. We provide structured data and human-reviewed insights to separate high-authority providers from unverified search results.
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Berkeley, United States
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.
The 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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Secure Your $249.95 Permanent ListingMETR (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.