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The AI Risk Mitigation Fund (ARM Fund), spun out from the Long-Term Future Fund and operated by Effective Ventures Foundation, has distributed over $20 million in grants over five years to support AI safety research and governance. Individual grants range from approximately $12,000 to $232,000.
The fund supports three focus areas: technical research to uncover dangerous AI capabilities and design safer AI systems that are easier to understand, monitor, and control; AI policy work to ensure governments and corporations appropriately guard against catastrophic risks; and programs to bring new talent into AI safety research.
The team includes AI safety researchers, forecasters, policy researchers, and experienced grantmakers who evaluate proposals on a rolling basis.
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R e d u c e c a t a s t r o p h i c r i s k s f r o m a d v a n c e d A I The AI Risk Mitigation Fund (ARM Fund) is a non-profit aiming to reduce catastrophic risks from advanced AI through grants towards technical research, policy, and training programs for new researchers. → Our views on risks from advanced AI → The case for independent AI Safety funding → Our grant making process The ARM Fund launched in Dec 2023.
The ARM Fund is now actively supporting projects across our focus areas. We are currently working on preparing detailed grant announcements, which will be published here soon. Below are some grants made by the ARM Fund team as part of their past grantmaking for the Long-Term Future Fund .
We are proud to have funded many of these grantees early on in their careers, many of whom subsequently went on to make significant contributions in technical AI safety and AI governance.
Building research capacity Start-up funds for computing resources for a deep learning and AI alignment research group at the University of Cambridge Centre for the Governance of AI Two-year funding to conduct public and expert surveys on AI governance and forecasting.
Building research capacity 4-month stipend for a research visit to collaborate with academics in Cambridge on evaluating non-myopia in language models and RLHF systems Year-long stipend for research into shard theory and mechanistic interpretability in reinforcement learning Technical AI safety research Seed funding for a new AI interpretability research organization University College London Compute for empirical work on AI Safety Via Debate Technical AI alignment research Technical research can uncover dangerous capabilities before it’s too late, or enable us to design future AI systems that are easier to understand, monitor and control.
Good policy can ensure that governments and corporations appropriately guard against catastrophic risks. Building AI safety research capacity Investment has poured into AI capabilities development, yet strikingly few researchers are working on key problems in AI safety, particularly outside of major industry labs. Grants in this area aim to bring new talent into the AI safety field.
This fund was spun out of the Long-Term Future Fund (LTFF), which makes grants aiming to reduce existential risk. Over the last five years, the LTFF has made hundreds of grants, specifically in AI risk mitigation, totalling over $20 million. Our team includes AI safety researchers, expert forecasters, policy researchers, and experienced grantmakers.
We are advised by staff from frontier labs, AI safety nonprofits, leading think tanks, and others. Help reduce catastrophic risks from advanced AI
According to the current listing, eligibility includes: Researchers and organizations working on technical AI alignment and safety research, AI policy and governance, and building research capacity in AI safety. Both individuals and institutions are eligible. Past grantees include academics, independent researchers, and policy organizations making significant contributions in technical AI safety and AI governance. Confirm the full requirements in the official notice before applying.
AI Risk Mitigation Fund for Technical AI Safety and Governance Research is funded by Effective Ventures Foundation. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The AI Safety Policy Entrepreneurship Fellowship is FAS's route for turning technical and domain expertise into frontier AI safety policy that actually moves. It is a part-time hybrid programme running 30 September 2026 to 28 February 2027, with applications due 7 September 2026, and it pays a USD 5,000 stipend plus up to USD 1,000 as a merit award. Fellows commit roughly five hours a week to developing a policy memo on a specific AI safety challenge, attend training sessions, join an in-person retreat in California from 4 to 7 November 2026, and present at a capstone event in Washington DC during the week of 22 February 2027. The design target is explicit and unusual: it recruits early- to mid-career professionals who have limited direct public policy experience but deep expertise elsewhere - technical AI research, academia, think tanks, civil society, industry, law, cybersecurity and national security - and teaches them the mechanics of getting an idea adopted. Selection weighs clear understanding of AI governance challenges, concrete implementation-oriented solutions rather than broad principles, awareness of which stakeholders must be moved, and a credible commitment to translating expertise into policy outcomes. Because the stipend is modest and the time commitment part-time, this is designed to sit alongside an existing job rather than replace one.
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