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Schmidt Sciences invites proposals for its 2026 Science of Trustworthy AI program, supporting technical research that improves our ability to understand, predict, and control risks from frontier AI systems.
The program funds work across three research aims: characterizing misalignment in frontier AI systems, developing generalizable measurements and interventions for AI safety, and overseeing AI systems with superhuman capabilities including multi-agent risks. Research areas include interpretability, robustness, alignment, and risk prediction.
Tier 1 awards up to $1M support focused investigations, while Tier 2 awards of $1M-$5M+ fund larger multi-year collaborative efforts across multiple institutions. Schmidt Sciences also provides compute resources, software engineering support, and API credits with frontier model providers. Preference is given to multi-PI collaborations.
This is a rigorous scientific research program focused on technical AI safety, not policy analysis.
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Search similar grants →Based on current listing details, eligibility includes: Open globally to individual researchers, research teams, research institutions, and multi-institution collaborations across universities, national laboratories, institutes, and nonprofit research organizations. Preference given to proposals from collaborations among multiple PIs and labs. Cross-border partnerships encouraged. Indirect costs cannot exceed 10%. Funded projects must comply with applicable law without lobbying or political activity. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Tier 1: Up to $1 million for focused investigations (1-3 years). Tier 2: $1 million to $5 million or more for larger multi-year collaborative efforts (1-3 years). Indirect costs capped at 10%. Additional support includes compute resources, software engineering support, and API credits with frontier model providers. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 17, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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Science of Trustworthy AI RFP is sponsored by Schmidt Sciences. Schmidt Sciences invites proposals for the Science of Trustworthy AI program, which funds technical research to understand, predict, and control risks from frontier AI systems. Two funding tiers are available: Tier 1 (up to $1M, 1-3 years) and Tier 2 ($1M-$5M+, 1-3 years).
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