AI0-001 AI Governance and Ethics Practice Question
A hospital plans to deploy an AI system that analyzes patient data to predict the likelihood of hospital readmission. The system will be used to allocate post-discharge care resources. The hospital's ethics committee wants to ensure compliance with the EU AI Act's requirements for high-risk AI systems. Which practice is MOST critical for meeting the Act's human oversight requirements?
⚠ Common exam trap
The trap here is equating human oversight with unattainable accuracy goals or public disclosure, rather than with the ability for a human to review and override the AI's decisions.
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 that a qualified clinician can review and override the AI's recommendations before care resources are allocated
For high-risk AI systems, the EU AI Act mandates human oversight to ensure that humans can effectively monitor and intervene in the system's operation. In a hospital readmission prediction tool used for care allocation, a clinician must be able to review and override the AI's recommendations, preserving human judgment in decisions that affect patient health.
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 that a qualified clinician can review and override the AI's recommendations before care resources are allocated
Why this is correct
The EU AI Act requires high-risk AI systems to be designed with human oversight, enabling humans to effectively oversee, interpret, and override the system. For a readmission prediction tool, a clinician must be able to review and override recommendations to prevent harm. This ensures meaningful human control over decisions affecting patient care.
- ✗
Requiring that the AI system's predictions are always followed to maintain consistency in care allocation
Why it's wrong here
Automatically following AI predictions without human review contradicts the EU AI Act's human oversight requirement for high-risk systems. Human oversight is intended to prevent automated decisions from causing harm. Consistency in care allocation does not justify removing the clinician's ability to override the AI when necessary.
- ✗
Publishing the AI system's algorithm in a peer-reviewed journal before deployment
Why it's wrong here
Publishing the algorithm is not a requirement under the EU AI Act. While transparency and documentation are important, the Act does not mandate peer-reviewed publication. Human oversight involves designing the system so that humans can monitor and intervene, not public disclosure of the algorithm.
- ✗
Deploying the AI system only after it achieves 100% accuracy on historical readmission data
Why it's wrong here
No AI system achieves 100% accuracy, and the EU AI Act does not require perfection. The Act requires risk management and human oversight, not unattainable accuracy thresholds. Demanding 100% accuracy would block deployment indefinitely and does not address the human oversight requirement.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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.