AI0-001 AI Security, Ethics and Governance Practice Question
An AI system used for autonomous driving is found to have a lower accuracy in detecting pedestrians with darker skin tones. The development team wants to address this ethical issue. Which action is most effective?
⚠ Common exam trap
CompTIA often tests the misconception that bias can be fixed by simply changing the algorithm or threshold, when in reality the most effective first step is to address data imbalance through targeted augmentation.
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
✓
Augment the training dataset with more images of pedestrians with darker skin
Augmenting the training dataset with more images of pedestrians with darker skin directly addresses the root cause of the bias: underrepresentation in the training data. By providing a more balanced and diverse dataset, the model can learn more robust features for all skin tones, reducing accuracy disparity without altering the algorithm's core logic or introducing arbitrary 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.
- ✗
Conduct additional testing to measure the disparity
Why it's wrong here
Testing identifies the issue but does not fix it.
- ✓
Augment the training dataset with more images of pedestrians with darker skin
Why this is correct
Diverse data helps the model learn robust features for all skin tones.
- ✗
Replace the object detection algorithm with a different one
Why it's wrong here
Algorithm change may not address data imbalance.
- ✗
Adjust the model's decision threshold for pedestrian detection
Why it's wrong here
Threshold adjustment changes sensitivity but does not improve feature learning.
About these practice questions
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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.