AI Associate Ethical Considerations of AI Practice Question
Which two actions are consistent with Salesforce's ethical AI principles when deploying a custom AI model on Salesforce?
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
✓
Document the model's intended use and limitations.
Documenting intended use (transparency) and providing a challenge mechanism (accountability) align with ethical AI principles.
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 structured data for training.
Why it's wrong here
Data type is not an ethical principle; unstructured data can be used responsibly.
- ✗
Use the model to make decisions without human review.
Why it's wrong here
This lacks accountability and human oversight.
- ✗
Optimize for accuracy over all other metrics.
Why it's wrong here
Accuracy alone ignores fairness and privacy.
- ✓
Document the model's intended use and limitations.
Why this is correct
Transparency is a core ethical principle.
- ✓
Provide a mechanism for users to challenge model decisions.
Why this is correct
Accountability allows users to contest outcomes.
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