AAIR AI Risk Program Management Practice Question
You are auditing an AI project. Which finding suggests a failure in AI risk management governance?
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
✓
No individual is designated as the accountable owner for the model's production outcomes.
If no one is designated as accountable for the model's outcomes, the governance structure is non-existent or dysfunctional.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model was trained on historical data.
Why it's wrong here
Training on historical data is a standard practice.
- ✓
No individual is designated as the accountable owner for the model's production outcomes.
Why this is correct
Lack of accountability is a fundamental failure of AI governance.
- ✗
The team uses a cloud-based GPU provider.
Why it's wrong here
Using cloud providers is a standard operational choice.
- ✗
The model has a 2% prediction error rate.
Why it's wrong here
Error rates are technical; they do not necessarily indicate a governance failure.
About these practice questions
Courseiva writes every AAIR question from scratch — 199 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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 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.