An organization plans to apply an AI system to its business, but developers find it difficult to predict system results due to lack of visibility to the inner workings of the AI model. Which of the…

Question

Options

• AGaining the trust of end users through explainability and transparency
• BAssigning a risk owner who is responsible for system uptime and performance
• CDetermining average turnaround time for AI transaction completion
• DContinuing operations to meet expected AI security requirements

• A
  72% (18)
• B
  16% (4)
• C
  8% (2)
• D
  4% (1)

Explanation

AAISM materials identify explainability and transparency as the greatest challenge when models operate as "black boxes" where inner logic is opaque. Inability to interpret how results are produced undermines the trust of business users, customers, regulators, and auditors. Explainability is emphasized as a critical governance requirement, because without it, ethical validation, accountability, and regulatory compliance are at risk. Assigning risk owners or measuring transaction times are operational concerns, but they do not address the core trust deficit caused by lack of visibility. The greatest challenge in this situation is therefore the loss of end-user trust due to insufficient explainability.

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