AI Associate Ethical Considerations of AI Practice Question
When implementing AI in Salesforce, which practice best supports the ethical principle of transparency?
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
✓
Provide human-readable explanations for each AI prediction
Transparency requires that the logic and outcomes of AI systems are understandable. Option A is correct because providing explanations for predictions allows users to understand and trust the AI. Option B (keeping proprietary algorithms secret) hinders transparency. Option C (using complex models without explanation) obscures decision-making. Option D (only reporting accuracy metrics) does not explain specific decisions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Provide human-readable explanations for each AI prediction
Why this is correct
Explanations enable understanding and trust.
- ✗
Use proprietary algorithms without disclosing their logic
Why it's wrong here
Secrecy prevents transparency.
- ✗
Deploy a complex neural network model without interpretability features
Why it's wrong here
Complex models lack transparency without explanation.
- ✗
Only report overall model accuracy metrics to end users
Why it's wrong here
Metrics alone do not provide transparency into individual 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.