hardMultiple Select
Generative AI Leader Practice Question: Deploying a generative AI model for medical…
A company is deploying a generative AI model for medical diagnosis assistance. To comply with both Google's AI Principles and emerging regulations (e.g., EU AI Act), they must ensure appropriate human oversight. Which THREE measures should they implement?
⚠ Common exam trap
The trap here is that candidates mistakenly believe high confidence scores or low-risk classifications can justify removing human oversight, but the exam tests that Google's AI Principles and regulatory frameworks like the EU AI Act require human review for all high-risk AI outputs regardless of confidence or perceived risk level.
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
✓
Require a human clinician to review all AI-generated diagnoses before acting on them
Option C is correct because requiring a human clinician to review every AI-generated diagnosis before it is acted upon directly implements human-in-the-loop oversight, which Google's AI Principles and the EU AI Act demand for high-risk medical applications. Option D is correct because an override mechanism ensures the human reviewer retains meaningful authority to reject or correct the AI's recommendation, preventing automation bias and preserving human control. Option E is correct because documenting the human-in-the-loop process, including who reviews what and at which stage, provides the accountability and traceability that regulators and AI governance frameworks require. Option A is not appropriate because high confidence scores do not eliminate the need for human oversight in a high-risk medical context, and using them to bypass review undermines the required human control. Option B is also not appropriate because allowing autonomous action even for low-risk cases conflicts with the principle of maintaining human oversight for medical diagnosis assistance under the stated compliance requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a model with high confidence scores to bypass human review
Why it's wrong here
High confidence scores reflect model certainty, not correctness; bypassing review removes the human oversight the EU AI Act mandates for high-risk medical use. It is tempting because confidence thresholds are a legitimate triage tool, but only for routing cases to reviewers, never for skipping them.
- ✗
Allow the AI to act autonomously for low-risk cases to reduce workload
Why it's wrong here
Autonomous action on 'low-risk' cases still removes the human oversight required for medical diagnosis under the EU AI Act and Google's principles. It is tempting because automation genuinely reduces workload in low-stakes domains, but diagnosis is high-risk, so a clinician must retain the decision.
- ✓
Require a human clinician to review all AI-generated diagnoses before acting on them
Why this is correct
Mandatory clinician review before any diagnosis is acted upon places a qualified human directly in the decision loop, satisfying the EU AI Act's requirement for effective human oversight in high-risk medical AI and Google's principle that AI be accountable to people.
- ✓
Provide an override mechanism that allows the human to reject the AI's recommendation
Why this is correct
An override mechanism lets the clinician reject the model's recommendation, preserving meaningful human control rather than rubber-stamping output. This satisfies the oversight requirement by ensuring the human, not the AI, holds final decision authority over diagnosis.
- ✓
Document the human-in-the-loop process and roles clearly
Why this is correct
Documenting the human-in-the-loop process and roles makes oversight auditable and enforceable, evidencing who reviews what and when. This satisfies the EU AI Act's record-keeping and accountability expectations for high-risk systems, complementing the actual review and override controls.
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