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NIST AI RMF · Subcategory 3.3

Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics.

Summary

Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics.

contestabilityimpact assessmentparticipationtevv

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

← Subcategory 3.3

Targeted application scope is specified and documented based on the system’s capability, established context, and AI system categorization.

Subcategory 3.4 →

Processes for operator and practitioner proficiency with AI system performance and trustworthiness – and relevant technical standards and certifications – are defined, assessed and documented.

Track NIST AI RMF subcategory 3.3 as evidence

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

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