AI0-001 AI Security, Ethics and Governance Practice Question
An organization uses an AI-based hiring tool. To prevent bias, they want to ensure the model's decisions are explainable. Which approach is most suitable?
⚠ Common exam trap
The AI0-001 exam often tests the distinction between a model that is inherently interpretable (like logistic regression) versus a model that is explained post-hoc (like SHAP on a deep network), where the trap is that candidates assume any explanation method makes a black-box model 'explainable' in the same way.
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
✓
Use a simpler interpretable model like logistic regression
A simpler interpretable model like logistic regression provides inherent transparency—its coefficients directly show the weight and direction of each input feature on the hiring decision. This makes it easy for auditors and stakeholders to verify that the model is not using protected attributes (e.g., race, gender) in a biased way, without needing post-hoc explanation tools. The key is that the model itself is interpretable by design, not just explained after the fact.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use reinforcement learning with fairness constraints
Why it's wrong here
Reinforcement learning is complex and hard to explain.
- ✓
Use a simpler interpretable model like logistic regression
Why this is correct
Simple models are inherently explainable.
- ✗
Use a black-box deep learning model with SHAP explanations
Why it's wrong here
Post-hoc explanations are less reliable than inherent interpretability.
- ✗
Use ensemble methods with feature importance
Why it's wrong here
Ensembles are complex and feature importance may be misleading.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 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 by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.