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AI Standards and Innovation Center & AI Research Programs is sponsored by National Institute of Standards and Technology (NIST). This funding supports NIST's artificial intelligence work, including a new AI Standards and Innovation Center and AI research programs.
It focuses on advancing foundational and applied AI research that leads to trustworthy AI systems, including AI governance, testing, and promoting U.S. competitiveness in international standards. Funding opportunities are available through the Measurement Science and Engineering (MSE) Research Grant Program.
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https://www. nist. gov/artificial-intelligence/ai-research Artificial Intelligence: Fundamental and Applied Research and Standards NIST AI Vitals Fact Sheet NIST develops tools to measure and understand the capabilities and limitations of artificial intelligence (AI) technologies.
NIST’s role in AI is to develop the foundational and applied research that leads to trustworthy AI systems. NIST works with the AI community to establish the technical requirements needed to cultivate the trust that AI systems are accurate and reliable, safe and secure, explainable, and free from bias. NIST is also looking to future AI computing paradigms beyond the current computing architectures.
In FY 2018, NIST initiated the Fundamental and Applied Research and Standards for AI Technologies (FARSAIT) program, which is designed to advance the fundamental and applied AI research at NIST.
FARSAIT’s fundamental AI research aims to develop a metrologist’s guide to AI systems that addresses the complex intertwinement of different aspects of trustworthy AI as well as terminology and taxonomy as it relates to the several layers of the AI space. The guide will consider the impact on social norms, policymakers, AI measurement, and AI development and deployment.
FARSAIT’s applied AI research promotes applying AI techniques to NIST research programs in areas including advanced materials discovery, robotic systems in manufacturing environments, and wireless networked control systems.
To ensure technical standards reflect Federal priorities for innovation, public trust, and confidence in systems that use AI technologies, NIST is participating in the development of international standards to promote U.S. competitiveness.
National Artificial Intelligence Initiative National Science and Technology Council Networking and Information Technology Research and Development Subcommittee Supplement to the President’s FY2020 Budget (9/2019) NIST issued U.S. Leadership in AI: A Plan for Federal Engagement in Developing AI Technical Standards and Related Tools (10/10/2019) NIST and the Executive Order on Maintaining American Leadership in Artificial Intelligence (2/14/2019) ITL Director Chuck Romine gave a briefing on NIST AI Research Program to the Visiting Committee on Advanced Technology (6/5/2018) NIST Associate Director for Laboratory Programs James Olthoff gave a NIST and Artificial Intelligence presentation to the Visiting Committee on Advanced Technology, (6/5/2018) White House Announces Creation of Select Committee on Artificial Intelligence (5/10/2018) White House Hosts Summit on Artificial Intelligence for American Industry (5/10/2018) Information technology and Artificial intelligence Created March 31, 2020, Updated November 15, 2022
Based on current listing details, eligibility includes: Organizations pursuing AI governance, testing, or trustworthy AI research. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice 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.
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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.
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Information Technology Laboratory (ITL) Grant Program is sponsored by National Institute of Standards and Technology (NIST). The ITL Grant Program cultivates trust in information technology and metrology through measurement science and standards research. Specific objectives include measurement approaches for trustworthy and responsible AI, human-centered approaches, and analytics addressing synthetic content authentication and provenance in generative AI.
NIST Small Business Innovation Research (SBIR) Phase II Program - Quantum Information Science is sponsored by National Institute of Standards and Technology (NIST). This program allocates funding to small businesses for prototyping innovative technologies in areas including quantum information science, artificial intelligence, and semiconductors. These Phase II awards follow successful Phase I feasibility studies.
ITL Grant Program (Measurement Science and Engineering (MSE) Research Grant Programs) is sponsored by National Institute of Standards and Technology (NIST) Information Technology Laboratory (ITL). The ITL Grant Program provides financial assistance to support research or a recipient's portion of collaborative research consistent with the ITL's missions in fields such as Applied and Computational Mathematics, Artificial Intelligence, Big Data Analytics, and Information Processing and Understanding.