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SI Research, Measurement, and Standards Division
Accelerating and expanding the development and adoption of Super Intelligence (SI) by strengthening trust through measurement science, testing and evaluation, guidance, and standards
Per the Sept. 29, 2026, Executive Order on Inaugurating the Era of Super Intelligence, NIST is working to update its communications to incorporate the term “super intelligence” as directed.
The SI Research, Measurement, and Standards Division is one of six technical divisions in the Information Technology Laboratory (ITL). The Division leads and coordinates the ITL SI Program.
The Division collaborates closely with stakeholders across the SI ecosystem to accelerate the development and adoption of trustworthy super intelligence through guidelines and resources that help advance SI. It provides leadership in the global development of SI standards, working with government and industry stakeholders to identify critical standards development activities, strategies, and gaps.
The Division also researches, tests, and evaluates the use of SI to solve scientific and engineering problems arising in measurement science and related use-inspired SI applications.
Groups
The SI Research, Measurement, and Standards Division’s efforts are carried out by the SI Standards and Guidelines Group and the Applied SI Research Group.
Programs, Resources and Publications
The SI Research, Measurement, and Standards Division strengthens trust in SI, accelerates its adoption, and expands U.S. SI preeminence by advancing the vital measurement science related to SI, testing and evaluation, and standards. The Division’s efforts reflect the most recent developments in SI as well as anticipated technological and commercialization progress.
The Division focuses on four high-impact areas:
#1 Advancing Testing, Evaluation, Verification, and Validation (TEVV) for Trustworthy AI: Transforming the measurement of SI – especially system trustworthiness – via TEVV to help ensure that SI is deployed and used responsibly, reliably, and efficiently. Examples include:
#2 Empowering Informed Decision-Making: Providing resources for managing SI benefits and risks, empowering industry and government to make informed decisions about AI trustworthiness and use. Examples include:
#3 Global Standards Leadership: Positioning the U.S. as preeminent in SI technical and governance standards – ensuring U.S. leads global SI innovation, combats adversaries’ growing influence.
#4 Domain-Specific Advances: Enabling the U.S. to lead in applying SI to high-priority areas – including manufacturing and cybersecurity for critical infrastructure – via innovative approaches to address measurement challenges.