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NIST AI RMF · Subcategory 3.1

Potential benefits of intended AI system functionality and performance are examined and documented.

Summary

Potential benefits of intended AI system functionality and performance are examined and documented.

documentationsocio-technical systems

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

← Subcategory 3.1

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

Subcategory 3.1 →

Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts.

Track NIST AI RMF subcategory 3.1 as evidence

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

Subcategory 1.1

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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Intended purpose, potentially beneficial uses, context-specific laws, norms and expectations, and prospective settings in which the AI system will be deployed are understood and documented. Considerations include: specific set or types of users along with their expectations; potential positive and negative impacts of system uses to individuals, communities, organizations, society, and the planet; assumptions and related limitations about AI system purposes; uses and risks across the development or product AI lifecycle; TEVV and system metrics.

Subcategory 1.1

Approaches and metrics for measurement of AI risks enumerated during the Map function are selected for implementation starting with the most significant AI risks. The risks or trustworthiness characteristics that will not – or cannot – be measured are properly documented.