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The NSF Safe Learning-Enabled Systems program, run in partnership with Open Philanthropy and Good Ventures, supports foundational research ensuring that learning-enabled and AI systems are safe with high levels of confidence.
As AI systems grow in scale, acquire new capabilities, and are deployed in high-stakes settings, the program funds research on robustness to extreme events, monitoring for anomalous and unsafe behavior, safety guarantees across all inputs, resilience to 'unknown unknowns,' and rigorous verification through analysis corroborated empirically and/or by mathematical proof. Individual awards range from approximately $800,000 to $1.
5 million, with about $20 million in total funding. This is a key program in NSF's AI safety and trustworthy-AI portfolio.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education (two- and four-year, including community colleges) and U.S. non-profit, non-academic organizations associated with educational or research activities. Employees of Open Philanthropy and Good Ventures may not participate. Confirm the full requirements in the official notice before applying.
The current listing shows awards range from approximately $800,000 to $1,500,000 per project, with approximately $20 million in total program funding (about $10 million per year). Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF Safe Learning-Enabled Systems Program for Provably Safe and Robust AI is funded by U.S. National Science Foundation (NSF), in partnership with Open Philanthropy and Good Ventures. 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
On June 1, DARPA and NSF announced AI Forge — a jointly governed forum that will fund university-led research on three thrusts: AI interpretability, AI control, and adversarial robustness. The RFI on sam.gov closes June 22, 2026, at 5:00 PM ET. Project Ventures awards run roughly $750K to $3M with one-year durations and multiple awards expected annually. Administration runs through a nonprofit, intellectual property will be shared via open-source licensing, and CAISI at NIST is the third partner. Here is what the 15 priority research challenges look like and how U.S. universities should respond.
Read articleThe RFI closed June 22. Now the forum is standing up. AI Forge is a jointly governed, university-led venture funding interpretability, control, and adversarial robustness in one-year Project Ventures — here's how the 15 challenges, the CAISI tie, and the nonprofit administrator reshape who gets funded.
Read articleNSF 26-508 will deploy up to $224 million across 56 State/Territory AI Coordination Hubs over three to four years. Each hub gets $1M annually to build an AI Learning Resource Navigator, a state AI readiness plan, deployment support, capacity-building, and priority-sector coordination. The Letter of Intent is due June 16 and the full proposal July 16. Here is what the program is really buying, who is best positioned to win Round 1, and why the no-cost-share rule reshapes the partner landscape.
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