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Generative AI Leader Practice Question: A financial institution is deploying a generative…
A financial institution is deploying a generative AI chatbot to provide investment advice. According to regulatory requirements, high-stakes AI decisions must have human review. Which setup BEST satisfies this requirement?
⚠ Common exam trap
Google often tests the distinction between 'human review' and 'human oversight' — candidates mistakenly think that an audit log or a disclaimer satisfies the requirement, but the trap is that regulators require proactive human approval before the action occurs, not after.
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
✓
AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI
It directly implements the regulatory requirement for human-in-the-loop (HITL) oversight in high-stakes AI decisions. In financial advisory contexts, regulations like the EU AI Act or SEC guidelines mandate that a qualified human advisor must review and approve AI-generated recommendations before any action is taken, ensuring accountability and the ability to override erroneous outputs.
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 separate AI model to review the first model's outputs and flag issues
Why it's wrong here
A second AI model reviewing outputs is still automated review, so no human is in the loop and the regulatory requirement remains unmet. It is tempting because model-based review scales cheaply and catches errors, and would be correct where the requirement is automated quality assurance rather than mandatory human oversight.
- ✓
AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI
Why this is correct
Human-in-the-loop approval directly satisfies the regulatory mandate for human review of high-stakes decisions. The advisor gates every recommendation before action and retains override authority, so no investment advice reaches the client without documented human judgement, meeting the requirement for meaningful oversight rather than post-hoc monitoring.
- ✗
AI provides advice directly to the customer with a disclaimer that it is not financial advice
Why it's wrong here
Delivering advice straight to the customer removes the mandated human review before the recommendation reaches them, so no qualified person can veto or amend it. Direct delivery is tempting for low-risk, non-regulated content such as general product FAQs, where no human sign-off is required.
- ✗
Allow the AI to execute trades automatically, with an audit log for later review
Why it's wrong here
Automatic trade execution removes the human from the decision itself; an audit log only documents it afterwards, so no human review occurs before the high-stakes action. Logging is tempting because it provides accountability and traceability, and would satisfy record-keeping requirements.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.