AI Associate Ethical Considerations of AI Practice Question
Which TWO actions help ensure transparency in AI systems according to Salesforce's ethical AI guidelines?
⚠ Common exam trap
Salesforce often tests the distinction between operational actions (like retraining) and ethical governance actions (like documentation), leading candidates to mistakenly select technically beneficial but ethically irrelevant options.
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
✓
Documenting model assumptions and limitations.
Documenting model assumptions and limitations is a core transparency practice under Salesforce's ethical AI guidelines. It ensures stakeholders understand the boundaries and potential biases of the AI system, enabling informed trust and accountability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Limiting access to model outputs to only a few people.
Why it's wrong here
Limiting access reduces transparency.
- ✗
Using complex deep learning models without explanation.
Why it's wrong here
Lack of explanation reduces transparency.
- ✗
Automatically retraining models weekly.
Why it's wrong here
Retraining does not directly relate to transparency.
- ✓
Documenting model assumptions and limitations.
Why this is correct
Documentation is a transparency best practice.
- ✓
Providing plain-language explanations of model predictions.
Why this is correct
Explanations enhance transparency.
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