AAIA AI Governance And Risk Practice Question
Which AI risk is best mitigated by conducting a 'bias audit' on the training dataset?
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
✓
Unfairness and discrimination in model outputs
Bias audits analyze datasets for underrepresented groups or historical prejudices that would lead to discriminatory outputs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hardware overheating
Why it's wrong here
Overheating is a physical infrastructure issue.
- ✗
System latency
Why it's wrong here
Latency is a performance issue, not a fairness one.
- ✓
Unfairness and discrimination in model outputs
Why this is correct
Data bias is the primary cause of output unfairness; detecting it early is key.
- ✗
Server cost overruns
Why it's wrong here
Cost issues are budget concerns, not fairness issues.
About these practice questions
This AAIA question is part of Courseiva's 209-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 AAIA 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 AAIA exam.