AAIR AI Risk Program Management Practice Question
Your organization is implementing an AI Risk Register. Which approach provides the most effective cross-functional coordination for identifying bias in a new HR recruitment AI?
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
✓
Conduct a mandatory tabletop exercise involving HR, legal, and data science teams to simulate potential discriminatory outcomes.
Cross-functional engagement ensures that legal, ethics, and technical teams validate the model against disparate impact standards.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Perform a technical audit on the training dataset distribution.
Why it's wrong here
Technical audit is part of the process but lacks the necessary cross-functional business context.
- ✗
Automate all bias detection using internal library scripts without human review.
Why it's wrong here
Automated scripts cannot capture socio-technical bias nuances.
- ✗
Update the AI policy to forbid the use of demographic attributes in training data.
Why it's wrong here
This is a policy control, not a coordination mechanism for risk identification.
- ✓
Conduct a mandatory tabletop exercise involving HR, legal, and data science teams to simulate potential discriminatory outcomes.
Why this is correct
Tabletop exercises facilitate cross-functional alignment and identification of subjective risk scenarios.
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.