AI Funding Opportunities
Below is a list of funding opportunities specifically related to
artificial intelligence (AI) and related research topics.
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NSF Funding Opportunities:
Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing)
The Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing) program seeks to support research at the interface of innovative computational and artificial intelligence (AI) technologies and new strategies/technologies in mathematical reasoning to automate knowledge discovery. Mathematical reasoning is a central ability of human intelligence that plays an important role in knowledge discovery. In the last decades, both the mathematics and computer science communities have contributed to research in machine-assisted mathematical reasoning, encompassing conjecture, proof, and verification. This has been in the form of both formal methods and interactive theorem provers, as well as using techniques from artificial intelligence. Recent technological advances have led to a surge of interest in machine-assisted mathematical reasoning from the mathematical sciences, formal methods, and AI communities. In turn, advances in this field have potential impact on research in AI.Deadlines: February 5, 2026
Science of Learning and Augmented Intelligence
This program supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes, and mechanisms of learning, and about augmented intelligence—how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective, and behavioral processes; and social and cultural influences. The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making, and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans.Deadline: Second Wednesday in February (annually); first Wednesday in August (annually)
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)
The purpose of this interagency program solicitation is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral, and/or cognitive research to address pressing questions in the biomedical and public health communities. Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze, and interpret data from individuals, devices, and systems in order to enable discovery and optimize health. Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering.
Deadline: October 3 (annually)
AI has enormous beneficial potential if it is governed well. Open Philanthropy, a foundation that prioritizes funding research on global health and wellbeing and global catastrophic risks, seeks to support projects that address the potential threat of AI on academia, industry, government, and civil society. To improve the odds that humanity successfully navigates the risks AI poses, Open Philanthropy is soliciting short expressions of interest (EOIs) for funding for work across six subject areas, including: technical AI governance, policy development, frontier company policy, international AI governance, law, and strategic analysis and threat modeling. Projects may take the form of traditional research, training or mentorship programs, or general support for an existing organization.
Deadline: EOIs accepted anytime
Cooperative AI Research Grants
The Cooperative AI Foundation supports research that will improve the cooperative intelligence of advanced AI for the benefit of all. The Foundation seeks proposals for research projects in cooperative AI that correspond to at least one of the following research areas: Understanding and Evaluating Cooperation-Relevant Capabilities, Understanding and Evaluating Cooperation-Relevant Propensities, Incentivizing Cooperation Among AI Agents, AI for Facilitating Human Cooperation, Collusion, Monitoring and Controlling Dynamic Networks of Agents and Emergent Properties, Information Asymmetries and Transparency, and Multi-Agent Security. The first two areas, Understanding and Evaluating Cooperation-Relevant Capabilities and Propensities, are especially high priority. All applicants should submit a pre-proposal for the deadline before being invited to submit a full proposal.Deadline: To be announced