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AI Security, Ethics and GovernanceeasyMultiple ChoiceObjective-mapped

AI0-001 AI Security, Ethics and Governance Practice Question

Which principle ensures that AI decisions can be traced back and understood by humans?

⚠ Common exam trap

The AI0-001 exam often tests the confusion between Accountability and Transparency, where candidates mistakenly think that assigning responsibility (Accountability) automatically ensures the decision path is visible, but in reality, Accountability can exist without full Transparency if the system is a black box.

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

Transparency

Transparency is the principle that ensures AI decisions can be traced back and understood by humans. It requires that the internal workings of an AI model, including its inputs, decision paths, and outputs, are documented and interpretable, enabling auditability and trust. Without transparency, stakeholders cannot verify whether the AI system is behaving as intended or complying with ethical and regulatory standards.

Answer analysis

Option-by-option breakdown

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

  • Transparency

    Why this is correct

    Transparency ensures that AI processes are open and understandable.

  • Privacy

    Why it's wrong here

    Privacy protects personal data but does not directly address understandability.

  • Robustness

    Why it's wrong here

    Robustness deals with reliability against errors and attacks.

  • Accountability

    Why it's wrong here

    Accountability focuses on who is responsible for outcomes, not explainability.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.