AAIR AI Risk Program Management Practice Question
When considering the 'Risk of Bias' in an AI system, which THREE components should be audited?
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 post-processing decisions made on the model outputs.
Bias can enter the model through the training data, the algorithm's objective function, or through post-processing of results.
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 physical location of the cloud data center.
Why it's wrong here
Data center location is irrelevant to algorithmic bias.
- ✓
The post-processing decisions made on the model outputs.
Why this is correct
Decisions made after the model generates an output can introduce bias.
- ✓
The composition and representativeness of the training dataset.
Why this is correct
Data bias is the most common cause of algorithmic bias.
- ✗
The number of coffee breaks the data science team takes.
Why it's wrong here
Irrelevant to model bias.
- ✓
The objective function or loss function used for model training.
Why this is correct
Optimizing for the wrong objective can introduce unintended bias.
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.