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.
Summary
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.
Read the full official text: https://airc.nist.gov/airmf-resources/playbook/
← Subcategory 4.1
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.
Subcategory 4.1 →
Measurement approaches for identifying AI risks are connected to deployment context(s) and informed through consultation with domain experts and other end users. Approaches are documented.
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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