QuestionQ127

Domain IV — Understanding how to govern AI deployment and use

Each of the following actions would support the compliance team’s fairness testing during the first month in production, EXCEPT:

  • A Validating a similar level of decision-making across different demographic groups.
  • B Providing the loan applicants with information about the model capabilities and limitations.
  • C Identifying if additional training data should be collected for specific demographic groups.
  • D Using tools to help understand factors that may account for differences in decision-making.
Explanation

Fairness testing compares decision outcomes across demographic groups, examines whether demographic groups are adequately represented in training data, and uses explainability or bias-detection tools to identify factors causing disparate decisions. Providing applicants with information about model capabilities and limitations is a transparency practice rather than a fairness-testing activity. AWS distinguishes fairness as evaluating impacts across stakeholder groups and transparency as enabling stakeholders to make informed choices about engaging with an AI system.

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