National Artificial Intelligence Research Resource (NAIRR) Pilot is sponsored by U.S. National Science Foundation (NSF). The NAIRR Pilot is a public-private initiative connecting U.S. researchers and educators to advanced computational and data platforms, datasets, software, AI models, and technological expertise to accelerate AI-driven discovery and innovation. While broad in scope, research into trustworthy AI, human-AI interaction, and the societal implications of AI (including in sectors like hospitality and tourism) would be relevant.

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.

Coefficient Giving Request for Proposals: AI Governance is a grant opportunity from Coefficient Giving that funds research and projects aimed at reducing catastrophic risks from advanced artificial intelligence. The program supports work across six subject areas: technical AI governance, policy development, frontier company policy, international AI governance, law, and strategic analysis and threat modeling. Strong proposals address scenarios where AI could cause large-scale harm — including misuse by bad actors or loss of control over autonomous systems. Eligible applicants include individuals and organizations from academia, nonprofits, industry, or independent settings worldwide. Award amounts are not publicly specified but grants are evaluated on a rolling basis and may be co-funded by Good Ventures and over 20 additional philanthropists. The January 25, 2026 deadline has passed; future rounds are anticipated.

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 Cambridge ERA:AI (Existential Risk and AI) Research Fellowship 2026 is a 10-week immersive research program based at the University of Cambridge designed to support early-career researchers and PhD students exploring frontier AI safety and governance. The program offers a fully funded fellowship with salary, mentorship from leading AI safety researchers at Cambridge, and access to one of the world's premier research environments. Fellows work on original research in AI safety, AI governance, AI alignment, and related areas of existential risk from advanced AI systems. The program commences July 6, 2026 and provides global mentorship connecting fellows with the broader AI safety research community. This is a highly competitive opportunity for researchers who want to make the transition into AI safety and governance research or deepen their existing work in these critical fields.

Artificial Intelligence Grant – NSF SBIR is sponsored by National Science Foundation (NSF). The NSF SBIR Artificial Intelligence topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. This includes novel AI hardware, sustainable AI for low-resource environments, and technologies for trustworthy AI.

The Gates Foundation AI to Accelerate Charitable Giving Grand Challenge seeks innovative AI solutions that transform philanthropic giving. The RFP addresses the question: How might AI support donors to give more and give sooner? Projects must address one of three challenge areas: (1) Donor Discovery & Connection — helping donors identify aligned causes through recommendation engines, personalized learning tools, and impact visualization; (2) Convert Intent to Action — reducing barriers preventing motivated donors from completing donations through streamlined giving processes and community-building systems; (3) Foundational Infrastructure — building underlying data systems and standards for philanthropic AI including data pipelines, nonprofit interoperability with AI agents, and fraud detection. Solutions benefiting global health and development in low- and middle-income countries receive priority consideration. Grantees must participate in up to three learning convenings with peer organizations. Applications are submitted through the Gates Foundation portal at submit.gatesfoundation.org.

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.

AI for Information Security - Amazon Research Awards is sponsored by Amazon. The Amazon AI Research Grant Program supports advanced research at the intersection of artificial intelligence (AI) and information security (cybersecurity), aiming to strengthen secure AI systems, improve cyber threat detection and response, advance trustworthy AI models, and enhance cloud and infrastructure security.

AI for Information Security Call for Proposals – Spring 2026 is sponsored by Amazon. Amazon is offering research funding to advance artificial intelligence applications in information security. The program supports research in areas like trustworthy and reliable agentic AI systems, threat detection and response, AI model security, and cloud security.

The Amazon Research Awards AWS Agentic AI Spring 2026 call funds academic research advancing the science and practice of agentic AI systems. The program seeks proposals across four priority themes: no-code and low-code agentic AI solutions for rapid deployment and management, AI-enhanced productivity applications enabling human-AI collaboration, multi-agent systems for secure and effective agent collaboration, and agentic AI for scientific discovery spanning health sciences, chemistry, materials science, and physics. Additional welcome topics include safety and responsible AI for agents, agent customization and post-training optimization, data integration and retrieval systems, enterprise-scale operations and governance, and applications in software engineering, healthcare, finance, media, and consumer assistants. The program supports development of open-source tools and encourages research benefiting the broader AI community. Awards are unrestricted gifts with no intellectual property obligations.

Schmidt Sciences' Science of Trustworthy AI RFP supports technical research aimed at improving understanding, prediction, and control of risks from advanced AI systems while enabling their safe deployment. The program funds research across three core aims: (1) characterizing and forecasting misalignment in frontier AI systems, (2) developing generalizable measurements and interventions for AI safety, and (3) overseeing superhuman-capability AI systems and addressing multi-agent risks. Tier 1 awards provide up to $1 million over 1-3 years, while Tier 2 awards range from $1-5 million or more over 1-3 years. Schmidt Sciences also offers compute access, software engineering support through the Virtual Institute for Scientific Software, API credits with frontier model providers, and community engagement opportunities for funded researchers.

Schmidt Sciences invites proposals for the 2026 Science of Trustworthy AI RFP, funding technical research that advances the science of building trustworthy AI systems. The program addresses three interconnected research aims: understanding why frontier AI systems develop misaligned goals that fail under distribution shift or pressure (Aim 1), creating valid evaluations and interventions to control what AI systems learn (Aim 2), and developing oversight mechanisms for superhuman AI capabilities and managing multi-agent risks (Aim 3). Beyond direct funding, awardees receive computing resources including GPUs and CPUs, software engineering support, API credits with frontier model providers, and access to a research community. The program is open globally and encourages cross-institutional and cross-geographic collaborations. Indirect costs are capped at 10% of total direct costs.

NASA SBIR 2026 Phase I Topics is sponsored by National Aeronautics and Space Administration (NASA). This SBIR Phase I solicitation supports innovative R&D by small businesses in areas including AI/ML, cybersecurity, and data systems relevant to aerospace missions, aligning with AI safety and data protection technologies. While broad, NASA has shown interest in AI-powered design and advanced manufacturing with AI.

Schmidt Sciences 2026 AI Interpretability RFP is a pilot program seeking new methods for detecting and mitigating deceptive behaviors from AI models. The program focuses on understanding deceptive behaviors from large language models including sycophancy and knowingly giving harmful advice problems that are appearing more frequently in frontier AI systems trained with noisy human feedback. Research areas include developing monitoring and detection methods for model deception creating targeted steering methods for intervening on model truthfulness building visualizations or dashboards that communicate model truthfulness to users applying detection and steering methods to AI debate settings or decision support systems and studying the role of deception mitigations in multi-agent interactions. This program is distinct from the Schmidt Sciences Science of Trustworthy AI RFP which focuses more broadly on understanding and controlling frontier AI risks. The Interpretability RFP specifically targets research on detecting deceptive LLM behaviors and developing practical interventions.

Innovate UK competition funding the creation, curation, annotation, and exploitation of FAIR-data and benchmarks to fuel AI industry growth. Projects must create high-quality benchmarks based on representative dataset slices to enable evaluation of new frontier AI models, while also developing larger AI-ready annotated and curated datasets. Supports collaborative projects that advance the UK AI benchmarking ecosystem and enable responsible AI development through standardized evaluation frameworks.

Request for Proposals, AI Safety Grant is a grant from the Foresight Institute that funds pioneering research in secure artificial intelligence, neurotechnology, longevity biotechnology, and molecular nanotechnology. The program supports innovative projects aligned with Foresight Institute's mission to fund the science of the future, including technical AI safety research on alignment, interpretability, and evaluation methods. Multiple grant opportunities are available under this initiative, each focused on a specific field of emerging technology. Eligible applicants include academic researchers, independent research groups, and organizations working on high-impact scientific and technology problems. The next application deadline for all grants is September 30. Interested applicants should review the application links and submission details on the Foresight Institute website.

AI for Science and Safety Nodes Grant Program is sponsored by Foresight Institute. The Foresight Institute is inviting applications for projects focused on decentralized, secure, and human-aligned artificial intelligence ecosystems. The program supports AI-driven innovation in areas such as AI safety, private AI, decentralized intelligence systems, neurotechnology, longevity biotechnology, molecular nanotechnology, and AI-powered scientific research.

Defense Sciences Office (DSO) Office-Wide Broad Agency Announcement (HR001125S0013) is sponsored by Defense Advanced Research Projects Agency (DARPA) - Defense Sciences Office (DSO). This BAA solicits proposals for innovative approaches enabling revolutionary advances in science, devices, or systems for national security applications, which can include areas related to AI safety and trustworthiness.

The DeployAI project invites European startups, SMEs, and research organisations to submit mature AI solutions for integration into the AI-on-Demand (AIoD) Platform. The structured three-stage innovation programme supports integration, testing, and real-world deployment of trustworthy European AI technologies. Participants receive financial support, mentorship, infrastructure access, beta-testing opportunities, and visibility through industry events. Aims to accelerate adoption and deployment of responsible AI across European sectors.

The Survival and Flourishing Fund (SFF) supports organizations working on long-term survival and flourishing of sentient life, with a strong focus on AI safety, AI governance, biosecurity, and institutional resilience. Founded by Jaan Tallinn (co-founder of Skype), SFF has distributed approximately $152 million since 2019, with $34.9 million in 2025 alone. The 2026 round is estimated at $20-40 million. SFF uses the S-Process evaluation method involving multiple independent assessors and offers three funding mechanisms: Speculation Grants (rolling basis, smaller amounts for quick-turnaround projects), full S-Process grants (annual competitive round), and Initiative Committee funding. Individual grants range from $10,000 to $4,000,000. Assessors may fund proposals across AI safety, pandemic preparedness, governance, and other existential risk areas.

TRACTOR (Trustworthy Reasoning for AI Cybersecurity Tasks, Operations, and Resilience) Program is sponsored by Defense Advanced Research Projects Agency (DARPA). Funds research at the intersection of AI safety and cybersecurity, developing AI systems that can perform cybersecurity tasks while maintaining verifiable safety properties. Awards support work on formal verification of AI security tools, adversarial robustness in cyber AI, and trustworthy autonomous cyber operations.

DARPA TRACTOR Program Grant is sponsored by Defense Advanced Research Projects Agency (DARPA). This program funds research at the intersection of AI safety and cybersecurity, addressing the dual challenge of using AI to enhance cyber defense while ensuring that AI-driven security tools do not introduce new vulnerabilities. Awards support research on formal verification of AI security tools, adversarial robustness in cyber AI, and trustworthy autonomous cyber operations.

Trustworthy Reasoning for AI Cybersecurity Tasks, Operations, and Resilience (TRACTOR) is sponsored by Defense Advanced Research Projects Agency (DARPA). The DARPA TRACTOR program funds research on developing AI systems that can perform cybersecurity tasks while maintaining verifiable safety properties. It addresses the dual challenge of using AI to enhance cyber defense while ensuring AI-driven security tools do not introduce new vulnerabilities. Awards support work on formal verification of AI security tools, adversarial robustness in cyber AI, and trustworthy autonomous cyber operations.

APA AI2050 Prizes is a grant from Schmidt Sciences that recognizes and funds early-career researchers developing AI systems that benefit humanity over the long term. The prize program awards $10,000 per prize to researchers working at the intersection of AI and pressing societal challenges, with a focus on responsible AI development. Eligible applicants include researchers affiliated with accredited universities and research institutions. The prizes support work that advances AI in ways aligned with the 2050 vision of a safer, more equitable future.

Advancing Artificial Intelligence (AI) Agent Ecosystems through the NSF Pathways to Enable Secure Open-Source Ecosystems (PESOSE) Program is a grant from the NSF Directorate for Biological Sciences that funds research and development of secure, open-source AI agent ecosystems. The program supports work to advance the foundational science and infrastructure needed for trustworthy AI agents that can operate reliably across complex real-world environments. Eligible applicants include U.S. academic institutions, non-profit organizations, and other NSF-eligible entities. Award amounts vary; the application deadline is September 1, 2026.

NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.

Long Range Broad Agency Announcement (BAA N00014-25-S-B001) is sponsored by Office of Naval Research (ONR). This BAA is ONR's primary solicitation for basic and applied research proposals in areas relevant to naval needs. ONR's AI priorities center on autonomous maritime systems, human-machine teaming, and machine learning for sensor fusion, including research in trustworthy AI.

Office of Naval Research (ONR) Long Range Broad Agency Announcement (BAA) for Navy and Marine Corps Science & Technology is sponsored by Office of Naval Research (ONR). Seeks proposals for AI research supporting naval applications, including trustworthy AI, human-AI collaboration, and AI for decision support. Emphasis on basic and applied research (TRL 1-5) advancing artificial intelligence for future naval capabilities.

Piloting AI-based image screening in medical centres (Digital Europe Programme) is a grant from the European Commission under the Digital Europe Programme that funds large-scale pilot projects deploying and validating trustworthy AI and generative AI systems for medical image screening in real clinical settings. The focus is on cancer and cardiovascular disease screening, generating robust clinical, organizational, and cost-efficiency evidence to accelerate AI adoption in European healthcare. Total budget is up to 9,000,000 EUR with 4,500,000 EUR per project across two funded proposals. Applicants must be legal entities from EU Member States or associated countries, in a consortium of at least 7 applicants from 5 different eligible countries, with at least one industrial partner. Application deadline is October 1, 2026.