New signups are temporarily closed.Existing customers can still sign in. Contact us to be notified when we reopen.
Skip to main content
NIST AI RMF · Subcategory 1.2

Appropriateness of AI metrics and effectiveness of existing controls is regularly assessed and updated including reports of errors and impacts on affected communities.

Summary

Appropriateness of AI metrics and effectiveness of existing controls is regularly assessed and updated including reports of errors and impacts on affected communities.

context of useimpact assessmenttevv

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

← Subcategory 1.2

Inter-disciplinary AI actors, competencies, skills and capacities for establishing context reflect demographic diversity and broad domain and user experience expertise, and their participation is documented. Opportunities for interdisciplinary collaboration are prioritized.

Subcategory 1.3 →

Processes and procedures are in place to determine the needed level of risk management activities based on the organization's risk tolerance.

Track NIST AI RMF subcategory 1.2 as evidence

eurocompliant maps this obligation to a checklist task and the evidence that satisfies it, alongside every other framework you follow.

Start free trial

More from NIST AI RMF

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.

Subcategory 1.1

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.