AI Associate Ethical AI and Data Privacy Practice Question
A company is implementing Einstein Prediction Builder to forecast sales opportunities. They want to ensure transparency and trust with their sales team. Which TWO practices should they adopt?
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
✓
Indicate clearly when a prediction is AI-generated
Providing explanations and indicating AI-generated predictions help sales reps understand and trust the AI outputs, aligning with transparency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use only historical data from the past month to train the model
Why it's wrong here
Using only recent data may reduce accuracy but is not directly related to transparency.
- ✗
Allow the model to automatically update opportunity records without human review
Why it's wrong here
Automatic updates reduce oversight and may violate human oversight principles.
- ✗
Hide the fact that predictions are AI-generated to avoid confusion
Why it's wrong here
Transparency requires disclosing AI involvement.
- ✓
Indicate clearly when a prediction is AI-generated
Why this is correct
Clear labeling aligns with the Transparency principle.
- ✓
Provide explanations for each prediction, showing the key factors that influenced the score
Why this is correct
Explanations enable reps to understand and validate predictions.
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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.