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Isaca AAIA Exam - Topic 1 Question 14 Discussion

Actual exam question for Isaca's AAIA exam
Question #: 14
Topic #: 1
[All AAIA Questions]

An organization has introduced an AI chat system where customers can enter their preferences and the system returns the best product selections. Which of the following is the BEST way to mitigate the risk of the system providing suggestions that may upset customers?

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Suggested Answer: B

The risk described is that customer-facing suggestions may be inappropriate, insensitive, or offensive. The BEST mitigation is to perform testing of diverse scenarios (B)---including edge cases, demographic variations, and sensitive contexts---to confirm that outputs remain within acceptable business, ethical, and customer-experience thresholds. AAIA highlights scenario-based testing and fairness/impact assessments as key practices, especially where recommendations directly influence customer interactions.

Increasing data volume (A) does not ensure fairness or sensitivity. Monitoring servers (C) focuses on technical health, not content appropriateness. Threat analysis (D) is important for security but does not directly address emotional or ethical impacts of model outputs. Therefore, structured, diverse scenario testing is the most targeted and effective approach.


ISACA, AAIA Exam Content Outline -- Domain 2 & Domain 5: Testing techniques; ethical and user-impact considerations.

ISACA AI guidance on scenario testing for fairness, appropriateness, and user impact.

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Harris
24 hours ago
I agree, testing diverse scenarios is key!
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Dortha
6 days ago
B seems like the best option to ensure quality.
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Veta
11 days ago
Threat analysis sounds important, but I feel like it might be more about security than customer satisfaction. I guess I need to review that part again.
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Jamal
16 days ago
I think continuous monitoring is crucial, but I wonder if it would catch all the potential issues. Maybe a combination of options would be best?
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Devon
22 days ago
I'm not entirely sure, but I think increasing the training data might not be enough on its own. It feels like we need to look at how the AI performs in real situations too.
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Katie
27 days ago
I remember we discussed the importance of testing diverse scenarios in class. It seems like option B could really help ensure the AI doesn't upset customers.
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