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AI Security, Ethics and GovernancehardMultiple ChoiceObjective-mapped

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.

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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.