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The CLR Fund is a rolling-application grantmaker run by the Center on Long-Term Risk supporting research that reduces s-risks (suffering risks) from advanced AI, particularly through multi-agent safety, cooperative AI, decision theory, and the prevention of catastrophic conflict and worst-case outcomes from AI systems.
The fund supports individuals (independent researchers, graduate students, early-career fellows), small charitable organizations, and academic projects whose work addresses neglected technical and conceptual problems at the intersection of AI alignment and long-term suffering risks.
Priority research areas include multi-agent reinforcement learning safety, game-theoretic alignment, cooperative AI mechanisms, decision theory for AI, threat modeling for advanced AI conflict, and wild animal welfare adjacent to AI ethics. Grant decisions are made by simple majority approval from fund managers Tobias Baumann, Emery Cooper, and Tristan Cook.
Past awards have ranged from approximately $5,000 short research grants to $251,000 multi-year project support.
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Or search similar grants →According to the current listing, eligibility includes: Open to individuals, charitable organizations, and academic institutions worldwide. Priority is given to applicants who can produce high-quality work relevant to suffering risks (s-risks), including AI safety, multi-agent systems, cooperative AI, wild animal welfare, and decision theory. The fund is intentionally flexible about applicant credentials, prioritizing the relevance and quality of proposed work over institutional affiliation. Confirm the full requirements in the official notice before applying.
The current listing shows grants range from approximately $5,000 to $251,000 USD based on historical awards. Current fund balance is approximately $387,000. The CLR Fund has distributed over $1.8 million since inception. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Center on Long-Term Risk CLR Fund for AI Suffering Risks Multi-Agent Safety and Cooperative AI Research is funded by Center on Long-Term Risk (CLR). 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 Authors Alliance, with funding from the Knight Foundation, runs the AI, Authorship, and the Public Interest grant program awarding up to $20,000 per project to researchers tackling the most pressing copyright and authorship questions raised by generative AI. Priority research areas include the criteria that should determine whether AI-assisted works merit copyright protection, the contours of meaningful human authorship in AI-mediated creative processes, comparative global frameworks for AI and copyright law, and the design of sustainable opt-out and consent systems for training data. The first round drew over 160 proposals and funded five recipients in 2025; Authors Alliance has signaled additional rounds to broaden the field of AI copyright scholarship oriented to the public interest. Eligible work spans legal scholarship, empirical research, policy analysis, and comparative law studies.
The FLI Digital Media Accelerator funds digital content creators developing video, audio, written, and social content that explains advanced AI risks and developments to broad audiences. Supported content addresses topics such as AGI implications, alignment challenges, corporate power concentration in AI, AI policy, and AI safety research. Eligible formats include YouTube explainers, TikTok and Instagram channels, newsletters, podcasts, and existing channels adding AI risk content series. FLI seeks creators who can translate complex AI safety topics into language and formats their audiences understand and find relatable. Funding can support production costs, scripting, fact-checking, expert interviews, and platform growth. The program is rolling and managed by Maggie at maggie@futureoflife.org, with applications submitted via FLI's Airtable applicant portal.
The Vista Institute for AI Policy Fellowship, fiscally sponsored by Rethink Priorities, supports students and recent graduates conducting independent research at the intersection of AI policy, AI law, and AI governance. Most fellows are selected through Vista's courses and the AI Law and Policy Workshop pipeline, though unsolicited applications from candidates with strong project proposals are accepted. Fellows conduct independent research with mentor support or work as research assistants alongside law professors and AI policy experts. Research areas include AI regulation and legislation, comparative AI governance frameworks, liability for AI harms, AI safety institute design, frontier model oversight, international AI policy coordination, and the legal implications of agentic AI systems. The program offers a structured pathway for early-career researchers to develop AI policy expertise alongside experienced practitioners.
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