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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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Or search similar grants →According to the current listing, 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. Confirm the full requirements in the official notice before applying.
The current listing shows $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. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 26, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Schmidt Sciences 2026 AI Interpretability RFP for Detecting Deceptive Behaviors in LLMs 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.
The Mozilla Foundation Fellows Program supports tomorrow's tech leaders working at the intersection of trustworthy AI, open source, and public interest technology. Mozilla Fellows pursue projects on AI auditing, algorithmic accountability, open source AI infrastructure, AI and democracy, content moderation governance, AI policy research, and bias and harm in machine learning systems. Fellows are embedded with host organizations (universities, NGOs, advocacy groups, news organizations) and receive a stipend plus a network of peers and amplification support. Mozilla has invested over $35 million across the last decade in building a better technology future. The 2026 cohort prioritizes Trustworthy AI and information ecosystem resilience.
Schmidt Sciences' AI in Science and Society initiative funds development of innovative AI tools that accelerate progress in engineering, physical sciences, and complex system design while also examining AI's societal implications. Funded scope includes domain-adapted foundation models for engineering and physical sciences, generative AI for materials discovery and molecular design, AI for complex system simulation and control, autonomous experimental platforms, and interdisciplinary projects bridging AI methods with deep scientific domains. The program also supports work on the societal context of scientific AI including responsible release, equitable access, and human-AI collaboration in scientific practice.
Schmidt Sciences opened a 'Scaling AI Safety for a Multi-Agent World' program with awards up to $1 million and an August 8, 2026 deadline. Against a backdrop of federal research slowdowns, here is why private science philanthropy matters more than ever, how these funders differ from federal agencies, and how researchers should approach them.
Read articleSchmidt Sciences' 2026 Science of Trustworthy AI RFP closes May 17 with two funding tiers — up to $1M (Tier 1) and $1–5M+ (Tier 2) over 1–3 years, with a 10% indirect cost cap. The three research aims target misalignment under distribution shift, predictive-validity evaluations, and oversight of superhuman systems. Here is why the structure favors team-based proposals.
Read articleSchmidt Marine Technology Partners funds the development and deployment of ocean technology — sustainable fisheries, ocean observation, habitat restoration, and pollution — with grants typically $100,000 to $400,000. The initial proposal window closes July 31, 2026. Here's what makes this funder different and how to write for it.
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