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Humanity AI is a $500 million five-year philanthropic initiative launched by ten major foundations to ensure people have a stake in the future of artificial intelligence. The founding members are the Doris Duke Foundation, Ford Foundation, Lumina Foundation, Kapor Foundation, John D. and Catherine T.
MacArthur Foundation, Mellon Foundation, Mozilla Foundation, Omidyar Network, David and Lucile Packard Foundation, and Siegel Family Endowment.
The initiative operates through a pooled fund managed by Rockefeller Philanthropy Advisors and covers five focus areas: democracy (safeguarding rights and freedoms), education (expanding AI access for all students), humanities and culture (protecting creators' intellectual property), labor and economy (enhancing rather than replacing workers), and security (maintaining safety standards).
MacArthur announced an initial $10 million in aligned grantmaking to eight institutions including AI Now Institute ($2M), Brookings Institution ($2M), London School of Economics ($2M), and others. The fund began making grants in 2026 and welcomes additional foundation partners.
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Search similar grants →Based on current listing details, eligibility includes: Nonprofit organizations, academic institutions, and research entities working on people-centered AI research, policy, and advocacy. Access to funding comes through individual member foundation grantmaking processes. Organizations can sign up for updates at humanityai.ai. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $500 million over five years across a pooled fund. Individual grant amounts vary by member foundation processes. MacArthur committed an initial $10 million in aligned grantmaking with awards ranging from $500,000 to $2 million. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The IAPS AI Policy Fellowship is a fully funded three-month program for professionals seeking to strengthen practical policy skills and contribute to impactful projects in AI governance and policy. The Summer 2026 cohort runs from June to August 2026 with options to participate in Washington DC or remotely. The program begins with a two-week in-person residency in Washington DC followed by remote or in-person work with weekly mentorship and career development support. Fellows work full-time on independent AI policy projects covering areas such as AI regulation compute governance international AI agreements AI safety policy AI workforce impacts and responsible AI deployment. The fellowship received 240 applications for the 2026 cohort representing a 35 percent increase over 2025. IAPS is a remote-first organization and legally supports fellows in many countries. This fellowship is distinct from the Vista Institute for AI Policy Fellowship which focuses specifically on AI law and from the Cooperative AI Foundation fellowships which focus on multi-agent cooperation problems.
The Pivotal Research Fellowship is a nine-week AI safety research program (June 29 to August 28, 2026) based at the London Initiative for Safe AI (LISA), with optional extensions of up to six months for strong projects. Fellows receive a GBP 6,000-8,000 stipend, GBP 2,000 housing allowance for non-London residents, London travel coverage, compute resources, and weekday meals. The program offers weekly one-on-one mentorship with established AI safety researchers, dedicated in-person workspace at LISA, research management support, workshops, and speaker sessions. The selection process involves a written application, video interview, mentor-specific work task, and personal interview. Pivotal Research reports that 70 to 90 percent of fellows who applied received extensions in recent cohorts, indicating strong support for continued research development. The fellowship accepts researchers from diverse backgrounds including ML, philosophy, policy, physics, and biology.