AI Associate Ethical Considerations of AI Practice Question
A company uses Einstein Analytics to predict employee performance and identifies low-performing employees with high confidence. What is a potential ethical concern?
⚠ Common exam trap
Salesforce often tests the distinction between ethical concerns (privacy, bias, transparency) and technical issues (cost, performance, overfitting), so the trap here is that candidates may confuse a model's high confidence with accuracy or fairness, overlooking that the ethical problem lies in the unauthorized use of personal data to make high-stakes predictions.
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
✓
Invasion of employee privacy.
Einstein Analytics uses machine learning models to analyze employee data and predict performance. Identifying low-performing employees with high confidence raises ethical concerns about invasion of privacy because the model may rely on sensitive personal data (e.g., communication patterns, work hours, or behavioral metrics) without explicit employee consent or transparency. This violates principles of data minimization and informed consent, which are core to ethical AI frameworks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Invasion of employee privacy.
Why this is correct
Predicting performance often uses personal data, raising privacy concerns.
- ✗
High computational cost.
Why it's wrong here
Cost is not an ethical issue.
- ✗
Difficulty in interpreting the model.
Why it's wrong here
Interpretability is important but privacy is more direct.
- ✗
Overfitting on historical data.
Why it's wrong here
Overfitting is technical, not ethical.
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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.