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"Schmidt Sciences 2026 Science of Trustworthy AI Request for Proposals for Misalignment Forecasting, AI Evaluation Science and Oversight of Superhuman Systems" is currently closed and not accepting applications.
Schmidt Sciences' Science of Trustworthy AI RFP is one of the few private programmes writing cheques at federal scale for AI safety research, and its two-tier structure means applicants are effectively choosing between two different competitions. Tier 1 funds focused investigations up to USD 1 million; Tier 2 funds USD 1-5 million or more for interdisciplinary multi-institution collaborations, both over one to three years.
The 2026 cycle organised around three connected research aims: characterising and forecasting misalignment in frontier AI systems, including why safety training produces models that learn problematic goals and fail under distribution shift or optimisation pressure; developing generalisable measurement and intervention, meaning evaluations with genuine predictive validity rather than benchmark scores, plus interventions that control what systems learn; and overseeing superhuman AI systems in settings where direct human evaluation is not feasible, including multi-agent risks.
The 10 percent indirect-cost cap is the practical detail that catches institutions out - it sits far below negotiated US federal rates, so research offices need to see the budget early and the department usually has to absorb the shortfall.
Two features widen access: applicants may request compute funding or direct access to Schmidt Sciences' GPU and CPU clusters with large-scale storage and high-speed networking, and multiple proposals per applicant are permitted. Eligibility is global and open to universities, research institutions and nonprofits, including multi-institution and international teams.
The 2026 deadline was 17 May 2026, anywhere on Earth; the programme runs in annual cycles.
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Or search similar grants →According to the current listing, eligibility includes: Open globally to universities, research institutions, nonprofit organisations, multi-institution teams and international collaborations; the programme emphasises support for academic and nonprofit researchers rather than commercial AI labs. Multiple proposals per applicant are permitted. Funding is offered in two tiers over one to three years: Tier 1 up to USD 1 million for focused investigations into a specific aspect of AI trustworthiness, and Tier 2 from USD 1 million to USD 5 million or more for larger multi-year collaborative efforts bringing together interdisciplinary teams. Indirect costs are capped at 10 percent of total direct costs, substantially below typical US federal negotiated rates - budgets must be built around this constraint. Applicants may additionally request funding for compute resources or request access to Schmidt Sciences' own GPU and CPU clusters, which include large-scale data storage and high-speed networking. Proposals must address one or more of the three 2026 research aims: characterising and forecasting misalignment in frontier systems, developing generalisable measurement and intervention including evaluations with predictive validity, and overseeing superhuman AI systems including multi-agent risks. The 2026 proposal deadline was 17 May 2026 at 11:59pm Anywhere on Earth and has passed. Schmidt Sciences runs its RFP cycles independently with separate schedules; applicants must confirm current live RFPs, tiers, award levels, indirect-cost policy and deadlines directly at schmidtsciences.org before preparing a submission. Confirm the full requirements in the official notice before applying.
The current listing shows two tiers over one to three years. Tier 1 provides up to USD 1,000,000 for focused investigations into a specific aspect of AI trustworthiness; Tier 2 provides USD 1,000,000 to 5,000,000 or more for larger multi-year interdisciplinary collaborations. amount_min of 1,000,000 is the Tier 1 ceiling and simultaneously the Tier 2 floor - Schmidt publishes no floor for Tier 1, so a small Tier 1 award can fall well below this. amount_max of 5,000,000 is the stated Tier 2 figure, which the RFP describes as 'or more', so it is a soft rather than hard ceiling. Indirect costs are capped at 10 percent of total direct costs. 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 Request for Proposals for Misalignment Forecasting, AI Evaluation Science and Oversight of Superhuman Systems is funded by Schmidt Sciences. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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