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NEW QUESTION # 167
When initiating an AI governance program, which of the following is MOST critical to ensure the AI system aligns with organizational objectives and stakeholder needs?
Answer: D
Explanation:
Effective AI governance begins with " Problem Framing " and process identification. Before acquiring hardware (Option B) or setting up monitoring (Option C), the organization must clearly define the specific business processes the AI will augment or automate. This ensures that the development of the model is rooted in strategic objectives rather than technological hype. The ISACA AAIA™ framework emphasizes that governance structures must first validate the " use case " to ensure it is ethical, feasible, and value-adding.
Without a well-defined use case, the organization risks implementing AI that is legally compliant (Option A) but operationally irrelevant or harmful to its core mission.
NEW QUESTION # 168
When auditing a research agency's use of generative AI models for analyzing scientific data, which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?
Answer: C
Explanation:
Ensuring that input data is appropriate and relevant (option D) is the most critical factor in preventing hallucinations--where generative models produce fabricated or misleading outputs.
The AAIATM Study Guide notes, "Generative models are highly sensitive to input data; inaccurate, irrelevant, or inappropriate inputs increase the likelihood of nonsensical or incorrect outputs." While bias detection, data quality audits, and anonymization are important, ensuring the relevance and suitability of input data is foundational for reliable generative AI performance.
NEW QUESTION # 169
An organization wants to reduce the risk of over-reliance ("automation bias") among employees using an AI decision-support tool. Which control is MOST effective?
Answer: D
Explanation:
Automation bias -- the tendency to over-trust automated outputs -- is best mitigated through training that encourages critical evaluation, combined with transparency features (confidence scores, rationale) that support informed human judgment.
NEW QUESTION # 170
Which of the following should be done FIRST when an AI chatbot has been identified as giving harmful advice?
Answer: B
Explanation:
When a system is actively producing harmful content, the priority is "immediate containment."
"Enabling content output filters" is a critical safety control that acts as a "guardrail," blocking the harmful responses before they reach the end-user. While prompt sanitization (Option A) targets the input, harmful advice often stems from the model's internal logic regardless of the input.
Output filters provide the fastest mitigation for protecting users and the organization's reputation.
Once the immediate risk is contained, the organization can conduct a root-cause analysis and perform more permanent retraining or access segmentation.
NEW QUESTION # 171
Which of the following is the MOST important consideration when auditing the data used for training an AI model?
Answer: B
Explanation:
Representativeness ensures that the training data reflects the full spectrum of conditions the AI model will encounter in production. According to the AAIATM Study Guide, models trained on non-representative data are prone to bias, poor generalization, and underperformance in real- world applications.
"Ensuring that training data accurately represents the operational environment is critical for model reliability, fairness, and scalability. Without it, the model may perform well in testing but fail in actual usage."
NEW QUESTION # 172
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