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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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Or search similar grants →Key questions and narrative sections extracted from the solicitation.
Aim 1: Characterize and forecast misalignment in frontier AI systems
Aim 2: Develop generalizable measurements and interventions
Aim 3: Oversee AI systems with superhuman capabilities and address multi-agent risks
Scoring criteria used to review proposals for this grant.
According to the current listing, 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. Confirm the full requirements in the official notice before applying.
The current listing shows 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. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 17, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Schmidt Sciences 2026 Science of Trustworthy AI RFP is funded by Schmidt Sciences. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
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