AAIR AI Risk Governance And Framework Integration Practice Question
When an AI model is updated (e.g., retrained on new data), what action is required from an AI Risk Governance 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
✓
The model should be re-validated to ensure it still meets risk thresholds.
Any significant change to an AI model triggers a re-validation or reassessment to ensure the new version is still within risk thresholds.
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 should be renamed to show it is a new version.
Why it's wrong here
Renaming is a versioning task, not a risk management task.
- ✗
No action is needed as the underlying architecture is unchanged.
Why it's wrong here
New data can introduce new risks (e.g., bias), necessitating review.
- ✓
The model should be re-validated to ensure it still meets risk thresholds.
Why this is correct
Changes require re-validation to ensure the model remains safe.
- ✗
The model should be automatically deployed without review.
Why it's wrong here
Bypassing review is a failure of governance.
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 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.