AI Associate Ethical AI and Data Privacy Practice Question
A data scientist is building a model to recommend products. They notice the model rarely recommends certain categories to users from a specific demographic. What should the scientist do first to address potential bias?
⚠ Common exam trap
Salesforce often tests the misconception that bias is solely caused by the presence of sensitive features, leading candidates to choose removing the feature (Option D) instead of recognizing that bias originates from the training data and can persist through proxy features.
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
✓
Audit the training data for representation and bias
The first step in addressing potential bias is to audit the training data for representation and bias. This involves examining whether certain categories or demographics are underrepresented or overrepresented in the dataset, which can lead to skewed model recommendations. Without understanding the data composition, other interventions may fail to address the root cause of bias.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the model's complexity to capture more patterns
Why it's wrong here
Complexity does not fix bias; it may exacerbate it.
- ✗
Add more features about the demographic to improve accuracy
Why it's wrong here
Adding more demographic features could increase bias.
- ✓
Audit the training data for representation and bias
Why this is correct
Data audit identifies if underrepresentation or biased labels exist.
- ✗
Remove the demographic feature from the model
Why it's wrong here
Removing the feature may not eliminate bias if other features correlate with the demographic.
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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.