Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management.
Summary
Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management.
Read the full official text: https://airc.nist.gov/airmf-resources/playbook/
← Subcategory 4.1
Organizational policies, and practices are in place to foster a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems to minimize negative impacts.
Subcategory 4.1 →
Approaches for mapping AI technology and legal risks of its components – including the use of third-party data or software – are in place, followed, and documented, as are risks of infringement of a third-party’s intellectual property or other rights.
Track NIST AI RMF subcategory 4.1 as evidence
eurocompliant maps this obligation to a checklist task and the evidence that satisfies it, alongside every other framework you follow.
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