NIST Artificial Intelligence - AI Research
governmentCredibility Rating
5/5
Gold(5)Gold standard. Rigorous peer review, high editorial standards, and strong institutional reputation.
Rating inherited from publication venue: NIST
NIST is the primary U.S. federal body developing AI measurement standards and technical frameworks; its outputs (including the AI Risk Management Framework) significantly influence both domestic policy and international AI standards bodies like ISO/IEC.
Metadata
Importance: 55/100homepagereference
Summary
NIST conducts fundamental and applied research to develop measurement tools, standards, and methodologies for trustworthy AI systems. Through its FARSAIT program, NIST establishes technical requirements spanning accuracy, reliability, safety, security, explainability, and bias mitigation. The organization also collaborates internationally on AI standards development and applies AI to scientific research domains.
Key Points
- •FARSAIT program (FY 2018+) focuses on advancing trustworthy AI through measurable technical requirements for safety, security, and explainability.
- •NIST develops international AI standards and a metrologist's guide to AI systems, providing measurement frameworks for the broader AI community.
- •Research addresses bias mitigation and reliability alongside safety, reflecting a broad definition of trustworthy AI.
- •Applied AI research includes materials discovery and robotic manufacturing, grounding abstract standards in concrete use cases.
- •As a federal standards body, NIST's AI research directly informs U.S. government AI policy and procurement requirements.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| NIST and AI Safety | Organization | 63.0 |
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N. Hanacek/NIST
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.
Funding opportunities are available through grants and cooperative agreements via the Measurement Science and Engineering (MSE) Research Grant Program .
Research
Foundational
Applied
Hardware
Related Links
National Artificial Intelligence Initiative
National Science and Technology Council Networking and Information Technology Research and Development Subcommittee issued the National Artificia
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