AI Associate Ethical Considerations of AI Practice Question
An AI model for predicting employee performance is found to have a higher false positive rate for women than for men. What is the best course of action?
⚠ Common exam trap
Salesforce often tests the misconception that adjusting thresholds or adding manual review can fix bias, when in fact these are superficial patches that do not address the root cause in the model's training data or architecture.
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
✓
Investigate the cause and retrain the model to reduce bias
A higher false positive rate for women indicates the model has learned biased patterns from the training data, likely due to imbalanced or skewed historical data. Investigating the cause—such as examining feature correlations, data distribution, and model architecture—allows for targeted retraining (e.g., reweighting, adversarial debiasing, or fairness constraints) to reduce bias without sacrificing overall performance. This aligns with ethical AI principles and regulatory expectations, ensuring the model is fair across demographic groups.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Investigate the cause and retrain the model to reduce bias
Why this is correct
Retraining with fairness constraints mitigates bias.
- ✗
Lower the decision threshold for women to equalize false positive rates
Why it's wrong here
Adjusting thresholds without addressing model bias is not a true fix.
- ✗
Proceed with deployment because the overall accuracy is acceptable
Why it's wrong here
High overall accuracy can mask disparate impact.
- ✗
Use the model but require manual review for all female candidates
Why it's wrong here
Manual review is inefficient and may introduce human bias.
Go deeper
Related to this question
About these practice questions
This AI Associate question is part of Courseiva's 753-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 by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.