AAISM AI Risk Management Practice Question
You are auditing an AI system for 'Model Explainability' (XAI). Why is XAI critical from a risk management perspective?
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
✓
It provides transparency for accountability and bias detection.
Explainability allows organizations to understand the 'why' behind model decisions, essential for regulatory compliance and debugging bias.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It is required to make the model run faster.
Why it's wrong here
XAI often adds overhead, not speed.
- ✗
It encrypts the input data.
Why it's wrong here
XAI has nothing to do with encryption.
- ✗
It enables models to train without labels.
Why it's wrong here
XAI is not a training method.
- ✓
It provides transparency for accountability and bias detection.
Why this is correct
This is the primary risk-based utility of XAI.
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 AAISM 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 AAISM exam.