AAISM AI Governance And Program Management Practice Question
Which THREE factors increase 'AI Model Risk'?
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
✓
High model complexity (black box).
High complexity, lack of interpretability, and critical business impact are the top drivers of AI model risk.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
High model complexity (black box).
Why this is correct
Increases risk.
- ✓
High impact on safety-critical business processes.
Why this is correct
Increases risk.
- ✗
Using a low-latency network.
Why it's wrong here
Irrelevant to risk.
- ✗
Using a well-documented framework.
Why it's wrong here
Decreases risk.
- ✓
Low explainability/interpretability.
Why this is correct
Increases risk.
About these practice questions
This AAISM question is part of Courseiva's 205-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.