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AI0-001 AI Implementation and Operations Practice Question

An AI system is being implemented in a healthcare setting. Which TWO ethical considerations should be prioritized?

⚠ Common exam trap

CompTIA often tests the distinction between ethical priorities and operational or financial goals, tricking candidates into selecting cost-saving or efficiency options instead of fairness and explainability.

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

Ensuring the model does not exhibit racial or gender bias

AI systems in healthcare must avoid racial or gender bias to ensure equitable treatment outcomes. Biased models can lead to misdiagnosis or unequal care, violating ethical standards and regulatory requirements like HIPAA. Prioritizing fairness aligns with responsible AI implementation in clinical settings.

Answer analysis

Option-by-option breakdown

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

  • Ensuring the model does not exhibit racial or gender bias

    Why this is correct

    Fairness is a core ethical concern.

  • Maximizing cost reduction for the hospital

    Why it's wrong here

    Cost reduction is not an ethical priority.

  • Providing explainable predictions to doctors

    Why this is correct

    Transparency builds trust and accountability.

  • Replacing human judgment entirely with AI

    Why it's wrong here

    AI is meant to assist, not replace.

  • Using open-source models to reduce licensing costs

    Why it's wrong here

    Licensing is not an ethical concern.

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