NIST Information Technology Laboratory: Artificial Intelligence

government

Credibility 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 a key U.S. federal body shaping AI governance standards; its AI RMF is frequently referenced in AI safety policy discussions and is considered a foundational document for enterprise and government AI risk management.

Metadata

Importance: 72/100homepage

Summary

The NIST Information Technology Laboratory's AI resource hub covers the agency's work on AI standards, risk management, and trustworthy AI development. It serves as the central portal for NIST's AI Risk Management Framework (AI RMF) and related guidance, measurement tools, and policy initiatives. NIST plays a key role in shaping federal AI governance and international standards.

Key Points

•Home of the NIST AI Risk Management Framework (AI RMF 1.0), a widely adopted voluntary framework for managing AI risks across sectors.
•Covers NIST's work on AI standards, benchmarks, evaluation methodologies, and trustworthy AI characteristics.
•Supports U.S. government and international AI policy efforts, including alignment with Executive Orders on AI safety.
•Provides resources on AI explainability, bias, robustness, and other technical safety and trustworthiness dimensions.
•Acts as a coordination point between federal agencies, industry, and academia on AI measurement science.

Cited by 1 page

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AI Research, Measurement, and Standards Division | NIST 
 
 
 
 

 

 
 
 
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 https://www.nist.gov/itl/ai

 
 

 

 
 
 
 
 

 

 

 
 
 
 

 
 

 
 

 

 
 
 
 Information Technology Laboratory 

 
 
 
 
 
 
 AI Research, Measurement, and Standards Division

 
 
 
 
 We work with industry, academia and other government agencies to accelerate the development and adoption of correct, reliable, testable software, leading to increased trust and confidence in deployed software.

 

 
 
 
 
 

 
 
 

 
 
 
 
 
 
 

 

 
 
 
 
 
 
 Groups

 
 
 
 
 

 
 
 

 
 
 

 AI Standards and Guidelines Group 

 Applied AI Research Group 

 
 

 

 

 
 

 
 
 
 

 
 
 

 
 
 
 
 
 
 
 
 
 
 
 The AI Research, Measurement, and Standards Division is one of six technical divisions in the Information Technology Laboratory .

 Conducts research and develops and validates AI methods, data/knowledge mining tools, and semantic services, performs outreach and collaborates with industry, academia and other government agencies to advance research, standards and guidelines to accelerate the development and adoption of trustworthy artificial intelligence and advance the state of the art of artificial intelligence. Provides leadership within NIST in the use of artificial intelligence to solve scientific and engineering problems arising in measurement science and related use-inspired applications of artificial intelligence. Plans, develops, coordinates, integrates, and consolidates NIST AI partnerships with the U.S. research community, U.S. industrial community, and other federal agencies.

 Projects

 The Configurable Data Curation System (CDCS) 

 Image Analytics 

 Concept Note: AI RMF Profile on Trustworthy AI in Critical Infrastructure 

 Scalable Systems 

 TrojAI 

 Pilot On-Premises AI Chat 

 

 

 
 
 
 
 
 Publications

 
 
 
 
 

 
 
 

 
 
 
 
 
 Antibiotics have been effectively developed to target and kill bacteria; however, the growing challenge of antimicrobial resistance (AR) has complicated the...

 
 
 
 
 

 
 
 
 
 
 
 Emotion Recognition in Conversations (ERC) is a critical aspect of affective computing, and it has many practical applications in healthcare, education...

 
 
 
 
 

 
 
 
 
 
 
 The focus of this workshop is to foster the development of applications of category theory to systems engineering and design. We are interested in bringing...

 
 
 
 
 

 
 
 
 
 
 
 Quantum networking protocols relying on interference and precise time-of-flight measurements require high-precision clock synchronization. This study describes...

 
 
 
 
 

 



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Resource ID: eeb73db67a2f4a75 | Stable ID: MDBiM2ZlYT