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Ethical AI and Data PrivacymediumMultiple ChoiceObjective-mapped

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.