MEASURE 4.1 Context-connected measurement approaches
Connecting measurement approaches for identifying AI risks to the deployment context and informing them through consultation with domain experts and end users, with the approaches documented.
MEASURE 4 Feedback on measurement efficacy
Checking that measurement works in context: deployment-connected measurement approaches, expert validation of trustworthiness results, and measurable performance changes.
MEASURE 4.2 Validating trustworthiness results with experts
Informing measurement results on trustworthiness in deployment and across the lifecycle with input from domain experts and relevant AI actors, to validate that the system performs consistently as intended.
MEASURE 4.3 Measurable performance changes
Identifying and documenting measurable performance improvements or declines based on consultation with AI actors, including affected communities, and field data on context-relevant risks and trustworthiness.
