AI0-001 AI Concepts and Foundations Practice Question
An organization is developing an AI system to approve loan applications. They want to ensure the model does not discriminate based on race or gender. Which technique BEST addresses this concern?
⚠ Common exam trap
CompTIA often tests the misconception that removing protected attributes is sufficient to eliminate bias, when in reality proxy features and correlated variables can still cause discrimination, making adversarial debiasing or other fairness-aware algorithms necessary.
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
✓
Apply adversarial debiasing during model training.
Adversarial debiasing is a technique that explicitly trains the model to remove sensitive information (like race or gender) from its internal representations, preventing the model from learning discriminatory patterns even if correlated features remain. This directly addresses fairness by making the model's predictions independent of protected attributes, which is more robust than simply removing features (which can still allow proxy discrimination).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remove race and gender features from the training data.
Why it's wrong here
Other features may correlate with protected attributes, leading to indirect discrimination.
- ✗
Use a more complex model to capture nuances.
Why it's wrong here
Complex models can amplify bias and reduce interpretability.
- ✓
Apply adversarial debiasing during model training.
Why this is correct
Correct; adversarial debiasing learns fair representations.
- ✗
Collect more training data from diverse populations.
Why it's wrong here
More data may still contain historical biases.
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.