AI Associate Ethical AI and Data Privacy Practice Question
A company is using Einstein Article Recommendations in Service Cloud. They notice that articles about a specific product are never recommended, even when relevant. After reviewing, they find that the training data did not include any cases where that product was mentioned. Which Salesforce Trusted AI principle is most directly violated?
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
✓
Accuracy
Accuracy requires that the model should be accurate and tested. If the training data is missing entire categories, the model cannot be accurate for those categories, violating accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Empathy
Why it's wrong here
Empathy is about human benefit; while related, the direct issue is lack of accuracy due to data gaps.
- ✓
Accuracy
Why this is correct
Accuracy requires the model to be accurate and tested; biased training data leads to inaccurate predictions for underrepresented categories.
- ✗
Honesty
Why it's wrong here
Honesty is about transparency; the model's limitation is not being disclosed.
- ✗
Safety
Why it's wrong here
Safety concerns harmful outputs; missing recommendations are not inherently harmful.
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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.