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MATS is an independent research and educational seminar program that connects talented researchers with top mentors in the fields of AI alignment, transparency, and security.
MATS exists to help grow the next generation of researchers who can address the technical and strategic challenges posed by increasingly capable AI systems. We aim to identify promising individuals, support their development through hands-on research experience, and connect them with the broader ecosystem of AI alignment organizations, labs, and mentors.
Each cohort brings together fellows from around the world for an intensive, 12-week research program hosted in Berkeley, California and London, UK. Fellows work closely with experienced mentors—leading researchers in AI alignment, transparency, and security—to develop high-impact research projects.
The program combines structured learning with independent inquiry:
The program concludes with a Research Symposium, where fellows present their work to an audience of researchers, practitioners, and community members.
MATS alumni have gone on to contribute to leading AI labs, nonprofits, and academic institutions. Many continue their research independently or through MATS extension programs. Together, their work spans interpretability, model evaluations, governance, safety benchmarks, agent behavior analysis, theory, and more—helping strengthen global capacity for AI safety research.