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NIST AI RMF · Subcategory 3.1

Decision-makings related to mapping, measuring, and managing AI risks throughout the lifecycle is informed by a diverse team (e.g., diversity of demographics, disciplines, experience, expertise, and backgrounds).

Summary

Decision-makings related to mapping, measuring, and managing AI risks throughout the lifecycle is informed by a diverse team (e.g., diversity of demographics, disciplines, experience, expertise, and backgrounds).

diversitygovernanceinterdisciplinarity

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

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Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented.

Subcategory 3.1 →

AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented.

Track NIST AI RMF subcategory 3.1 as evidence

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

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A determination is made as to whether the AI system achieves its intended purpose and stated objectives and whether its development or deployment should proceed.

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