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Opened Dec 1 2025; Deadline Dec 19 2025 11:59 PM PST (CLOSED)
The People-First AI Fund is sponsored by OpenAI Foundation. This initiative supports U.S.-based nonprofits working at the intersection of artificial intelligence innovation and public good. The fund focuses on AI literacy and public understanding, community innovation that improves access to essential services, and economic opportunity as AI reshapes the labor market.
A second wave of board-directed grants is planned for 2026.
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OpenAI's AI and Mental Health Grant Program - OpenAI OpenAI's AI and Mental Health Grant Program Opens Dec 1 2025 12:00 PM (PST) Deadline Dec 19 2025 11:59 PM (PST) Submissions are open today through December 19, 2025, 11:59 PM PST. A panel of internal researchers and experts will review applications on a rolling basis and notify selected proposals on or before January 15th, 2026. Contact mentalhealthresearchgrants@openai.
com for any questions. Note that we will not be providing status updates for individual applications that are not selected. What kinds of topics are you looking for?
We present these potential topics of exploration as examples, but this is not meant to be a comprehensive list of all potential research directions. Successful proposals can pertain to topics that are not included on this list.
Potential areas of interest include: How expressions of distress, delusion, or other mental health-related language vary across cultures and languages, and how these differences affect detection or interpretation by AI systems Perspectives from individuals with lived experience on what feels safe, supportive, or harmful when interacting with AI-powered chatbots How mental healthcare providers currently use AI tools, including what is effective, what falls short, and where safety risks emerge The potential of AI systems to promote healthy, pro-social behaviors and reduce harm The robustness of existing AI model safeguards to vernacular, slang, and under-represented linguistic patterns—particularly in low-resource languages How AI systems should adjust tone, style, and framing when responding to youth and adolescents to ensure that guidance feels age-appropriate, respectful, and accessible, with deliverables such as evaluation rubrics, style guidelines, or annotated examples of effective vs. ineffective phrasing across age groups How stigma associated with mental illness may surface in language model recommendations or interaction styles How AI systems interpret or respond to visual indicators related to body dysmorphia or eating disorders, including the creation of ethically collected, annotated multimodal datasets and evaluation tasks that capture common real-world patterns of distress How AI systems can provide compassionate, sensitive support to individuals experiencing grief -- helping them process loss, maintain connections, and access coping resources -- along with deliverables such as exemplar response patterns, tone/style guidelines, or evaluation rubrics for assessing supportive grief-related interactions What kinds of outputs are you expecting from funded projects?
We’re sharing illustrative examples of deliverables below to help spark proposals, but these are by no means exhaustive: Research papers that aim to gather evidence around the above areas of interest, or related matters Taxonomies of model behavior in sensitive contexts that could be further improved Culturally or linguistically diverse datasets Prototype interaction flows showing contextually appropriate conversational patterns Who can I contact for any questions about this grant?
Email mentalhealthresearchgrants@openai. com . Note that we will not be providing status updates for individual applications that are not selected.
What are the eligibility criteria for this funding? Affiliated with a research institution or organization, and/or significant experience with mental health We are seeking to fund research rather than for-profit initiatives, so we will not prioritize for profit organizations at this time What budgets are available for each project?
We will award targeted research grants with proposed budgets between $5,000 and $100,000, totaling up to $2 million. Allowable costs under this award include all reasonable and necessary direct and indirect costs incurred in the performance of the funded activities, consistent with the recipient’s institutional policies. Are these grants funded by OpenAI Foundation or OpenAI Group PBC?
The grants are funded and administered by OpenAI Group PBC. This program is separate from our People-First AI Fund and other initiatives from the OpenAI Foundation. OpenAI's AI and Mental Health Grant Program Submissions are open today through December 19, 2025, 11:59 PM PST.
A panel of internal researchers and experts will review applications on a rolling basis and notify selected proposals on or before January 15th, 2026. Contact mentalhealthresearchgrants@openai. com for any questions.
Note that we will not be providing status updates for individual applications that are not selected. What kinds of topics are you looking for? We present these potential topics of exploration as examples, but this is not meant to be a comprehensive list of all potential research directions.
Successful proposals can pertain to topics that are not included on this list.
Potential areas of interest include: How expressions of distress, delusion, or other mental health-related language vary across cultures and languages, and how these differences affect detection or interpretation by AI systems Perspectives from individuals with lived experience on what feels safe, supportive, or harmful when interacting with AI-powered chatbots How mental healthcare providers currently use AI tools, including what is effective, what falls short, and where safety risks emerge The potential of AI systems to promote healthy, pro-social behaviors and reduce harm The robustness of existing AI model safeguards to vernacular, slang, and under-represented linguistic patterns—particularly in low-resource languages How AI systems should adjust tone, style, and framing when responding to youth and adolescents to ensure that guidance feels age-appropriate, respectful, and accessible, with deliverables such as evaluation rubrics, style guidelines, or annotated examples of effective vs. ineffective phrasing across age groups How stigma associated with mental illness may surface in language model recommendations or interaction styles How AI systems interpret or respond to visual indicators related to body dysmorphia or eating disorders, including the creation of ethically collected, annotated multimodal datasets and evaluation tasks that capture common real-world patterns of distress How AI systems can provide compassionate, sensitive support to individuals experiencing grief -- helping them process loss, maintain connections, and access coping resources -- along with deliverables such as exemplar response patterns, tone/style guidelines, or evaluation rubrics for assessing supportive grief-related interactions What kinds of outputs are you expecting from funded projects?
We’re sharing illustrative examples of deliverables below to help spark proposals, but these are by no means exhaustive: Research papers that aim to gather evidence around the above areas of interest, or related matters Taxonomies of model behavior in sensitive contexts that could be further improved Culturally or linguistically diverse datasets Prototype interaction flows showing contextually appropriate conversational patterns Who can I contact for any questions about this grant?
Email mentalhealthresearchgrants@openai. com . Note that we will not be providing status updates for individual applications that are not selected.
What are the eligibility criteria for this funding? Affiliated with a research institution or organization, and/or significant experience with mental health We are seeking to fund research rather than for-profit initiatives, so we will not prioritize for profit organizations at this time What budgets are available for each project?
We will award targeted research grants with proposed budgets between $5,000 and $100,000, totaling up to $2 million. Allowable costs under this award include all reasonable and necessary direct and indirect costs incurred in the performance of the funded activities, consistent with the recipient’s institutional policies. Are these grants funded by OpenAI Foundation or OpenAI Group PBC?
The grants are funded and administered by OpenAI Group PBC. This program is separate from our People-First AI Fund and other initiatives from the OpenAI Foundation. Dec 1 2025 12:00 PM (PST) Dec 19 2025 11:59 PM (PST)
Key questions and narrative sections extracted from the solicitation.
Research proposal describing intersection of AI and mental health
Budget justification ($5K-$100K range)
Based on current listing details, eligibility includes: U.S.-based 501(c)(3) nonprofits with annual operating budgets between $500,000 and $10,000,000. Must be located in and primarily conducting work within the 50 U.S. states or District of Columbia. No prior AI experience is required. Organizations at every stage of AI adoption are welcome. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Total fund is $50,000,000. Second wave will distribute $9,500,000 in board-directed grants. First wave distributed $40,500,000 to 208 nonprofits (approximately $195,000 average per organization). 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.
Past winners and funding trends for this program
OpenAI launched a dedicated grant program awarding up to $2 million to support independent research into the safety and well-being implications of AI particularly related to mental health. The program funds researchers examining how AI technologies impact mental health emotional well-being and psychological safety with emphasis on children and vulnerable populations. This program sits within the broader OpenAI Foundation commitment announced March 24 2026 to grant $1 billion over the next year supporting life science and health research and mitigating AI impacts on jobs the economy and mental health. The foundation has recruited Jacob Trefethen to lead life sciences and health grantmaking and is recruiting a new executive director to oversee expanded grantmaking. Future rounds are expected under the $1B commitment. This program is distinct from the OpenAI People-First AI Fund which provides unrestricted grants to community nonprofits for civic life and essential services.
The OpenAI Foundation People-First AI Fund is a $50 million initiative supporting U.S. nonprofits using AI to advance education, community innovation, economic opportunity, healthcare, and community resilience. Wave 1 distributed $40.5 million in unrestricted grants to 208 community-based nonprofits across the United States through an open call that received nearly 3,000 applications. Wave 2, totaling $9.5 million in board-directed grants, is slated for early 2026 and targets organizations already advancing scalable AI work in health, education, and community resilience. The fund prioritizes efforts that use AI in creative ways to expand access, improve programmatic and service delivery, build resilience, and advance community-led research. Example grantees include STEM From Dance (combining dance and AI learning for young girls of color) and digital literacy and workforce development programs.
Amendment 8 to the NASA ARMD Research Opportunities in Aeronautics (ROA) 2015 NRA has been posted on the NSPIRES site. This release includes the following 4 subtopics in Appendix B.2 for Airspace Technology Demonstration (ATD) Project (2.1) Feasibility study to identify implementable retrofit avionics systems supporting multiple ADS-B In applications with an emphasis on data interfaces; (2.2) Technologies for Indicating System Status and Dependencies during Complex Non-Normal Situations; (2.3) Assessment of the benefits and costs Integrating Arrival, Departure and Surface Operations with ATD-2; (2.4) Analysis of common route for multiple flights during severe weather events. NOIs are due October 21, 2015 and proposals are due November 23, 2015. Funding Opportunity Number: NNH15ZEA001N-ATD. Assistance Listing: 43.002. Funding Instrument: G. Category: ST.
The Public Diplomacy Section (PDS) is pleased to invite eligible applicants to submit program ideas to implement the American Cybersecurity Enhancement Program (ACEP) for Thai Entrepreneurs. PDS Bangkok prioritizes selecting the best-qualified proposal from applicants that show clear alignment with and capability to advance shared goals and U.S. government priorities and interests, highlighting U.S. innovation, entrepreneurship, and leadership. Applicants must demonstrate their intent to effectively and efficiently administer U.S. government funds in a way that strengthens the bilateral relationship between the United States and Thailand. This notice is subject to the availability of funding. Goal - The ACEP aims to introduce and leverage American technology, innovation, and standards to improve cybersecurity systems and create a more secure and safer digital environment in Thailand, thereby strengthening partnership between Thailand and the United States. This program will assist and prepare Thai entrepreneurs in mitigating the risks and damages of cyberattacks, stolen data, and financial losses. Objectives - The ACEP focuses on enhancing Thai entrepreneurs’ knowledge and skills in cybersecurity and introducing more secure systems by learning from American approaches and companies. This program also creates opportunities for Thai businesses to gain firsthand experience in implementing advanced cybersecurity measures. It will also encourage and create favorable conditions for U.S. business and economic partnership in Thailand. Target Audience - 45-60 beginning to mid-level entrepreneurs and SMEs that have been in business for 1 to 5 years with an interest in improving data safeguarding and cybersecurity systems. Proposed program activities should demonstrate strong ties to U.S. expertise, technology, and companies. This can include partnerships with U.S. organizations, the involvement of U.S. experts in the project, or collaboration with U.S. businesses Funding Opportunity Number: OFOP0001959. Assistance Listing: 19.040. Funding Instrument: CA. Category: O. Award Amount: $35K – $60K per award.
Google Academic Research Awards (GARA) is a grant from Google Research that provides unrestricted gifts to professors at degree-granting institutions conducting groundbreaking research in computing and technology. Each funding cycle, Google identifies key research areas and invites proposals from academics working on topics with societal implications. The 2025 program includes a focused AI for Privacy, Safety, and Security award track supporting work that leverages frontier AI models to improve digital safety and security. The program is open globally to assistant, associate, and full professors actively advising students and conducting research.
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