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NIST AI RMF · Subcategory 2.3

Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection (e.g., availability, representativeness, suitability), system trustworthiness, and construct validation.

Summary

Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection (e.g., availability, representativeness, suitability), system trustworthiness, and construct validation.

dataimpact assessmentlimitationstevv

Read the full official text: https://airc.nist.gov/airmf-resources/playbook/

← Subcategory 2.3

Procedures are followed to respond to and recover from a previously unknown risk when it is identified.

Subcategory 2.3 →

AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented.

Track NIST AI RMF subcategory 2.3 as evidence

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Legal and regulatory requirements involving AI are understood, managed, and documented.

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