CRISC Information Technology and Security Practice Question
Which of the following is a primary concern when using AI/ML models for decisions subject to regulatory oversight?
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
✓
Explainability of model decisions
Regulated decisions often require explainability to ensure compliance and auditability, which can be challenging with complex AI/ML models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Adversarial attacks
Why it's wrong here
Adversarial attacks are a security concern, not necessarily a compliance one.
- ✗
Model bias
Why it's wrong here
Bias is important but not specifically a regulatory explainability requirement.
- ✓
Explainability of model decisions
Why this is correct
Regulations like GDPR require explanation of automated decisions.
- ✗
Data privacy in training
Why it's wrong here
Data privacy is important but not specifically about decision explainability.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CRISC 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 CRISC exam.