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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.
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Search similar grants →According to the current listing, eligibility includes: Open globally to digital content creators with an existing following or platform interested in AI safety awareness. Preference for creators with compelling ideas for impactful content that reaches new audiences and plans to integrate AI safety content into ongoing output. Both established creators expanding into AI topics and existing AI safety communicators scaling their work are eligible. Confirm the full requirements in the official notice before applying.
The current listing shows funding amounts vary by project scope, audience reach, and production needs. Typical support for digital media accelerator grants at comparable AI safety media programs ranges from approximately $5,000 to $50,000 per project, with size negotiated case-by-case based on platform and content series scope. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Future of Life Institute Digital Media Accelerator for AI Safety Awareness Content Creators is funded by Future of Life Institute (FLI). 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.
Tarbell offers grants of $1,000 to $20,000 to support original reporting on artificial intelligence and its societal impacts. The program funds journalism across six priority areas: accountability reporting on AI companies, AI policy and politics, AI explainers and analysis for general audiences, AI in government and militaries, AI labor and economic impacts, and AI developments in China. The program emphasizes published written journalism in established outlets but also considers podcasts, video, and other formats. Selection criteria prioritize impact potential, reach to influential audiences, demonstrated journalistic experience, and feasibility of the proposed project.
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 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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