AI Associate Ethical AI and Data Privacy Practice Question
A company uses Einstein Prediction Builder to forecast customer churn. The data science team discovers that the model is heavily influenced by a field containing the customer's income, which the company legally cannot use for automated decisions in certain jurisdictions. Which TWO steps should the team take to address this ethical and compliance issue?
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
✓
Re-evaluate feature importance to ensure no other fields act as proxies for income
Removing the prohibited field and re-evaluating feature importance aligns with data minimisation and fairness. Auditing for bias is good but not sufficient if the field is still used. Retraining without removal does not address the legal issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Re-evaluate feature importance to ensure no other fields act as proxies for income
Why this is correct
Proxies can reintroduce the same bias; checking for proxies is important after removal.
- ✗
Audit the model for bias against different income groups
Why it's wrong here
Auditing alone does not comply with the legal restriction; the field must be removed.
- ✗
Ignore the issue because the model is used internally
Why it's wrong here
Internal use does not exempt from legal compliance.
- ✓
Remove the income field from the training data
Why this is correct
Directly addresses the legal prohibition by eliminating the field.
- ✗
Retain the income field but add a note that it may not be used in certain regions
Why it's wrong here
This does not prevent the model from using income in regions where it is prohibited.
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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.