Question 28
Domain 1 — AI Governance and Risk ManagementWhen auditing the transparency of an AI system, which of the following would be the MOST effective way to understand the model's decision-making process?
Correct answer: D
Explanation
Reviewing the explainability of AI outputs is most effective because transparency depends on whether the system can make its decisions understandable to humans. Explainability shows how inputs lead to outputs, which is the key way to audit a model’s decision-making process.
Why each option is right or wrong
A. Evaluating the diversity of the training data set
B. Analyzing the complexity of the algorithms used
C. Assessing the computational cost of the model
D. Reviewing the explainability of AI outputs
Under the EU AI Act, transparency is assessed by whether the system’s operation can be meaningfully understood by affected persons and overseen by humans, with Article 13 requiring instructions and information that enable interpretation of the output and use of the system. Reviewing explainability directly tests how inputs are transformed into outputs, which is the only option that exposes the model’s internal decision path rather than just its results or performance.