Currently 3 active ai and ai safety grants, fellowships and residencies open to applicants in Worldwide. Hand-curated and updated weekly. Every entry is funded, no exposure-only calls. Browse the list below, or use the interactive desk for filtering and shortlisting.
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Open global RFP from Schmidt Sciences for technical research that improves the ability to understand, predict, and control risks from frontier AI systems while enabling their trustworthy deployment. Three connected research aims: (1) Characterise and forecast misalignment in frontier AI systems; (2) Develop generalisable measurements and interventions, including evaluations with construct/predictive validity and interventions that control what AI systems learn (not just what they say); (3) Oversee AI systems with superhuman capabilities and address multi-agent risks. Strong proposals (especially Tier 2) take a clear stand on a small number of core questions and pursue them deeply rather than addressing many agenda items superficially. Schmidt Sciences is most interested in ambitious Tier 2 proposals that could materially shift what the field believes is possible; for Tier 2 preference is given to multi-PI/multi-lab collaborations and to projects that are demonstrably the lead investigator's primary focus. Beyond grant funding, the programme provides software engineering support via the Virtual Institute for Scientific Software, API credits with frontier model providers, and access to community convenings/workshops. Eligibility includes individual researchers, research teams, universities, national laboratories, institutes, and non-profit research organisations; cross-geographic collaboration encouraged. Common reasons for non-competitive proposals: lack of core focus, vague methods, no validity argument for proposed tools/benchmarks, no clear statement of what would be learned on success or failure. Deadline 17 May 2026 at 11:59pm AoE; notification of decision Summer 2026. Free to apply.
Rolling grant programme funding individuals at any career stage who want to pursue careers that could help reduce global catastrophic risks or otherwise improve the long-term future. Especially interested in candidates working on risks from future advances in AI and global catastrophic biological risks. Funds graduate study (master's/PhD/MPP/law school), unpaid internships, postdocs, professional certifications, online courses, independent study/upskilling, career-transition and exploration periods, and academic sabbaticals. Concrete examples Coefficient Giving lists: a senior ML engineer doing six months of independent study to investigate AI risk mitigation careers; a physics PhD doing self-guided ML interpretability work to transition into technical AI safety; a management consultant exploring how to apply their skill set to GCR; a tenured ML/CS professor taking a one-year sabbatical to contribute to AI safety or governance. Open globally; no institutional affiliation required. Looks for candidates whose funding would 'make a difference' (otherwise unable to find sufficient funding, or existing funding has restrictions). Encourages applications from women and people of color. Now subsumes the former Biosecurity Scholarship. Applications are open until further notice and assessed on a rolling basis. Free to apply.
Lightweight rolling grant for individual journalists worldwide (writers, photographers, radio, film; freelance or staff) examining how AI systems are designed, sold and deployed in communities. Faster turnaround than the Pulitzer AI Accountability Fellowship: decisions in 1 to 2 weeks.