Which activities are considered best practices in designing an AI audit testing methodology? (choose two)

Question

Options

• AAligning test cases with AI ethical principles
• BAvoiding interaction with operational teams
• CValidating model assumptions and training context
• DBypassing explainability tools

• A
  89% (16)
• B
  6% (1)
• D
  6% (1)

Explanation

A sound AI audit testing methodology must be both principled and technically grounded. Aligning test cases with AI ethical principles (A) ensures the audit evaluates fairness, accountability, transparency, and other ethical dimensions-not just technical functionality. Validating model assumptions and training context (C) ensures the auditor scrutinizes whether the model's design is appropriate for its use case and whether its training data and assumptions are sound. Avoiding interaction with operational teams (B) is a poor practice-operational staff provide critical context about how the system is used. Bypassing explainability tools (D) undermines the auditor's ability to assess how decisions are made, which is a core concern in AI auditing.

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