Science of Trustworthy AI
Funds foundational studies on AI safety, ethics, testing, and reliable evaluation methods.
The Science of Trustworthy AI program funds foundational technical research aimed at understanding, predicting, and controlling risks from frontier AI systems. Schmidt Sciences identified three critical gaps it aims to close: the failure of current AI evaluations under distribution shift and optimization pressure; the pace of frontier model deployment outrunning safety infrastructure; and safety research being concentrated in industry labs rather than the broader academic community. Annual open RFPs are issued each spring for researchers worldwide — individuals, teams, universities, national laboratories, institutes, and nonprofits. Awardees also receive access to compute, software engineering support via Schmidt Sciences' Virtual Institute for Scientific Software (VISS), and API credits with frontier model providers.
Each grant below is a distinct funding opportunity with its own eligibility, scope, and deliverables.
Funds mechanistic interpretability research on detecting and steering deceptive behaviors in artificial intelligence systems.
Supports trustworthy artificial intelligence research that improves safety, transparency, and reliability in practical systems.