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Ethical Considerations of AIhardMultiple ChoiceObjective-mapped

AI Associate Ethical Considerations of AI Practice Question

An AI model predicts employee performance. The HR team uses it to identify high-potential employees. What is a potential ethical risk?

⚠ Common exam trap

Salesforce often tests the 'all of the above' trap where candidates think only one or two risks apply, but the question explicitly lists multiple interconnected ethical concerns that collectively form the correct answer.

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

All of the above

All three listed risks—over-reliance on the model, privacy violation, and underutilization of human judgment—are potential ethical risks when an AI model predicts employee performance. Over-reliance can lead to automated decisions without human oversight, privacy violation may occur if sensitive employee data is mishandled, and underutilization of human judgment ignores contextual factors that the model cannot capture. Together, these represent a comprehensive set of ethical concerns in AI-driven HR practices.

Answer analysis

Option-by-option breakdown

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

  • Over-reliance on the model

    Why it's wrong here

    This is a risk, but not the only one.

  • Privacy violation

    Why it's wrong here

    Privacy is a risk but not the only one.

  • Underutilization of human judgment

    Why it's wrong here

    Also a risk, but the question asks for the best answer.

  • All of the above

    Why this is correct

    Correct. All listed risks are potential ethical concerns.

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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.