AI Associate Ethical Considerations of AI Practice Question
An admin wants to use Einstein Reply Recommendations in Service Cloud. Which ethical consideration is most important to implement before enabling the feature?
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
✓
Ensure customer data is anonymized.
Customer data privacy is paramount; anonymizing data ensures recommendations do not expose sensitive information.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the cost of agent training.
Why it's wrong here
Agent training is unrelated to the ethical deployment of AI.
- ✗
Maximize the number of recommendations.
Why it's wrong here
Quantity over quality may lead to irrelevant or harmful suggestions.
- ✗
Increase the speed of case resolution.
Why it's wrong here
Speed is a performance goal, not an ethical consideration.
- ✓
Ensure customer data is anonymized.
Why this is correct
Anonymization protects privacy and reduces risk of PII exposure in AI outputs.
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Same concept, more angles
1 more way this is tested on AI Associate
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A Salesforce admin wants to use Einstein Prediction Builder to predict customer churn. What ethical consideration is most important?
easy- A.Cost of implementation
- B.Model accuracy
- ✓ C.Data privacy
- D.Transparency of predictions
Why C: Data privacy is the most important ethical consideration when using customer data for predictions like churn. Option A is wrong because cost of implementation is a business concern, not an ethical one. Option B is wrong because while model accuracy is important, it is a technical metric and not the primary ethical concern; privacy takes precedence. Option D is wrong because transparency of predictions is important for trust, but data privacy is more foundational when handling sensitive customer data.
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.