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Ethical Considerations of AImediumMultiple SelectObjective-mapped

AI Associate Ethical Considerations of AI Practice Question

A company wants to ensure their AI model complies with ethical guidelines. Which TWO actions are essential? (Choose two.)

⚠ Common exam trap

Salesforce often tests the misconception that 'automation' is always the goal of AI, but the trap here is that ethical guidelines require human oversight and documentation, not full automation or complexity.

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 oversight

Human oversight (Option B) is essential because it ensures that AI decisions can be reviewed, overridden, or corrected by a person, which is a core requirement of ethical AI frameworks such as the EU AI Act and NIST AI Risk Management Framework. This oversight helps catch biased outputs, edge cases, or harmful actions that the model might produce, maintaining accountability and safety.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Avoid transparency

    Why it's wrong here

    Transparency is a core ethical principle; avoiding it is unethical.

  • Provide human oversight

    Why this is correct

    Correct. Human oversight ensures decisions can be reviewed and overridden.

  • Use the most complex model

    Why it's wrong here

    Complexity does not guarantee ethical compliance.

  • Automate all decisions

    Why it's wrong here

    Full automation reduces human oversight and accountability.

  • Document model decisions

    Why this is correct

    Correct. Documentation supports transparency and auditability.

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Last reviewed: Jun 30, 2026

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