AAIA AI Auditing Tools And Techniques Practice Question
You are auditing a model using IBM Watson OpenScale. Which feature should be configured to detect 'Disparate Impact' to ensure regulatory compliance?
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
✓
Fairness monitor
Watson OpenScale features a 'Fairness' monitor that specifically tracks Disparate Impact ratios.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Fairness monitor
Why this is correct
The Fairness monitor calculates Disparate Impact and other bias metrics.
- ✗
Quality monitor
Why it's wrong here
Quality monitor tracks accuracy and precision.
- ✗
Drift detection monitor
Why it's wrong here
Drift detection tracks data and model quality shifts.
- ✗
Explainability monitor
Why it's wrong here
Explainability monitors the generation of local explanations.
- ✗
Payload logging
Why it's wrong here
Payload logging is the mechanism for data collection, not a monitor itself.
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 AAIA 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 AAIA exam.