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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.
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Or search similar grants →According to the current listing, eligibility includes: Open to legal scholars, empirical researchers, policy analysts, librarians, and independent researchers worldwide working on AI, copyright, authorship, and the public interest. Eligible projects include legal scholarship, empirical studies, comparative law analysis, and policy work. Affiliation with a university is not required, but applicants must demonstrate capacity to publish research outputs. Confirm the full requirements in the official notice before applying.
The current listing shows up to $20,000 per research grant for projects at the intersection of artificial intelligence, copyright law, authorship, and the public interest. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Authors Alliance AI Authorship and the Public Interest Research Grants Funded by Knight Foundation is funded by Authors Alliance with support from the John S. and James L. Knight Foundation. 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 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.
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.
With Forms J in FY2027, NIH will no longer accept letters of support — the boilerplate endorsements applicants have padded proposals with for decades. Notice NOT-OD-26-094 replaces them with letters of collaboration, aligning NIH with NSF. Here is exactly what changes, what a compliant letter must now contain, who can no longer write one, and how this fits the broader re-engineering of the NIH application package.
Read articleThe NIH Common Fund launched PRIMED-AI — Precision Medicine with AI: Integrating Imaging with Multimodal Data — as five coordinated funding opportunities (RFA-RM-27-011 through -015) that build a full pipeline from standards to clinic. Here is how the Playbook, Data-to-Model partnerships, Model-to-Clinic translation, Validation Center, and Logistics Center fit together, what each pays, who is eligible, and how to position before the October 2026 deadlines.
Read articleThe Cummings Foundation's flagship program will award $35 million to roughly 150 eastern-Massachusetts nonprofits in 2027, up from $30 million — and nearly all of it now flows as unrestricted general operating support. Letters of Inquiry opened July 15 and close September 16, 2026. Here is who qualifies, how the multi-year and 10-year tracks work, and how to write an LOI that survives the first cut.
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