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Schmidt Sciences 2026 AI Interpretability RFP is a pilot program seeking new methods for detecting and mitigating deceptive behaviors from AI models. The program focuses on understanding deceptive behaviors from large language models including sycophancy and knowingly giving harmful advice problems that are appearing more frequently in frontier AI systems trained with noisy human feedback.
Research areas include developing monitoring and detection methods for model deception creating targeted steering methods for intervening on model truthfulness building visualizations or dashboards that communicate model truthfulness to users applying detection and steering methods to AI debate settings or decision support systems and studying the role of deception mitigations in multi-agent interactions.
This program is distinct from the Schmidt Sciences Science of Trustworthy AI RFP which focuses more broadly on understanding and controlling frontier AI risks. The Interpretability RFP specifically targets research on detecting deceptive LLM behaviors and developing practical interventions.
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Search similar grants →Based on current listing details, eligibility includes: Individual researchers research teams research institutions and multi-institution collaborations across universities national laboratories institutes and nonprofits worldwide. Global applicants welcome. Projects must comply with applicable law and cannot include lobbying or political activity. Indirect costs capped at 10 percent. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $300,000 to $1,000,000 per award inclusive of overhead capped at 10 percent indirect costs. Projects funded for 1 to 3 years independent of budget size. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 26, 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.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
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.
Schmidt Sciences' Unconventional Compute RFP funds research on hardware fundamentally different from conventional CPUs and GPUs, co-designed with training and inference methods suited for their constraints. Open to universities and nonprofit research institutions globally, this pilot program seeks evidence that unconventional hardware can solve real-world problems beyond benchmark metrics. Track I awards $50,000-$150,000 for 6-12 month projects; Track II awards $150,000-$750,000 for 12-18 months. The lightweight application requires only a short online form and a five-page project narrative. Deadline is April 30, 2026.
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).
Individual Support Grant is sponsored by The Adolph and Esther Gottlieb Foundation. This grant encourages artists who have dedicated their lives to developing their art. It is available only to individual painters, sculptors, and printmakers who have worked in a mature phase of art for 20 years or more and can demonstrate financial need.
Carolina Career-Connected Learning Challenge is a multi-million-dollar competition grant from the Leon Levine Foundation that funds breakthrough models connecting students in Grades 7–14 in North and South Carolina to high-quality career pathways. The initiative targets the persistent education-to-workforce gap: currently only 31 of 100 ninth-graders graduate, enroll in college, and earn a credential within six years. Funding focuses on career-connected learning (CCL) models that align student interests with industry needs, prioritizing equity for low-income and first-generation students. Awards range from $125,000 to $500,000. Eligible applicants are 501(c)(3) organizations (or fiscally sponsored entities) with at least $500,000 in non-governmental revenue that are currently serving low-income students or first-generation college students in North or South Carolina. The deadline is March 27, 2026.