AI Associate AI Fundamentals Practice Question
Which TWO of the following are key principles of trustworthy AI according to Salesforce's AI ethics guidelines?
⚠ Common exam trap
Salesforce often tests the distinction between 'accountability' (a broader governance concept) and 'explainability' (a specific technical principle), leading candidates to mistakenly select accountability when the question explicitly asks for the two key principles from Salesforce's guidelines.
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
✓
Transparency
Transparency is a core principle of trustworthy AI because it requires that AI systems operate in a way that is open and understandable, allowing stakeholders to see how decisions are made. Salesforce's AI ethics guidelines emphasize transparency to ensure that users can trust the system's outputs and that any biases or limitations are visible.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Profitability
Why it's wrong here
Profitability is a business goal, not an ethical principle.
- ✗
Complexity
Why it's wrong here
Complexity is not a principle; simplicity may be preferred.
- ✓
Transparency
Why this is correct
Transparency ensures users understand how AI decisions are made.
- ✓
Explainability
Why this is correct
Explainability means AI outcomes can be interpreted by humans.
- ✗
Accountability
Why it's wrong here
Accountability is relevant but not specifically highlighted as a principle in this context; we need two correct.
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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.