AI Associate AI Fundamentals Practice Question
Which TWO of the following are ethical considerations when deploying AI in Salesforce?
⚠ Common exam trap
Salesforce often tests the misconception that maximizing accuracy (Option A) is always ethical, when in fact it can compromise interpretability and fairness, which are key to responsible AI deployment.
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
✓
Providing transparency in AI-generated outcomes
Transparency in AI-generated outcomes is a core ethical principle, especially in Salesforce's Einstein platform, where users must understand how predictions (e.g., lead scoring or opportunity insights) are made. Salesforce provides tools like 'Why This Prediction?' to explain model outputs, ensuring trust and accountability. Without transparency, users cannot validate or challenge AI decisions, leading to potential bias or misuse.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Maximizing model complexity for better accuracy
Why it's wrong here
Complex models can be less interpretable, which may reduce trust and increase risk of bias.
- ✓
Providing transparency in AI-generated outcomes
Why this is correct
Transparency helps users understand how decisions are made, building trust.
- ✓
Ensuring data privacy and compliance with regulations
Why this is correct
AI systems must handle customer data responsibly to comply with laws like GDPR.
- ✗
Using only historical data without review for biases
Why it's wrong here
Historical data may contain biases; using it without review can perpetuate discrimination.
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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.