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NIST AI RMF · Subcategory 2.3

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

Summary

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

risk response

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

← Subcategory 2.3

Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment.

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.

Track NIST AI RMF subcategory 2.3 as evidence

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Subcategory 1.1

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.