AI Associate Ethical Considerations of AI Practice Question
A company receives a complaint that their Einstein Next Best Action recommendations are consistently suggesting different products based on the customer's ZIP code, leading to unequal access. What should the company do first?
⚠ Common exam trap
Salesforce often tests the misconception that the immediate reaction to AI bias should be to disable the system or escalate to support, rather than following a structured troubleshooting process that starts with data review.
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
✓
Review the training data for geographic bias.
The first step in addressing biased AI recommendations is to investigate the root cause. Geographic bias in training data is a common source of unequal outcomes in machine learning models like Einstein Next Best Action. Reviewing the data allows the company to identify and mitigate the bias before taking any other action.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Contact Salesforce support for a refund.
Why it's wrong here
Support may not address data bias issues.
- ✗
Increase the number of recommendations shown.
Why it's wrong here
More recommendations do not fix the bias.
- ✗
Disable the recommendation engine immediately.
Why it's wrong here
Disabling may cause disruption; investigate first.
- ✓
Review the training data for geographic bias.
Why this is correct
Data bias is a likely cause and should be examined.
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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.