AAIR AI Risk Program Management Practice Question
When setting up an AI risk monitoring dashboard, what is the most important consideration for ensuring executive buy-in?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Map AI performance metrics to business impact indicators like customer churn or operational downtime.
Executives need to see how AI risk affects business outcomes (e.g., financial impact, reputation) rather than just technical performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Map AI performance metrics to business impact indicators like customer churn or operational downtime.
Why this is correct
Linking technical risk to business outcomes is essential for executive decision-making.
- ✗
Include the number of GPU hours utilized.
Why it's wrong here
Resource usage is not an executive-level risk metric.
- ✗
Display the raw training error rates.
Why it's wrong here
Raw technical data is too granular for executive decision-making.
- ✗
Show a comparison of the organization's AI progress against competitors.
Why it's wrong here
While useful, it does not demonstrate the impact of risk, only competitive positioning.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAIR practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAIR exam.