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Generative AI Leader Practice Question: A company deploying a generative AI assistant…
A company deploying a generative AI assistant wants to allow users to override the AI's suggestions before final actions are taken. Which design pattern does this represent?
⚠ Common exam trap
Google's AI Principles emphasize human oversight. Candidates must distinguish between Human-in-the-loop (active approval) and Human-on-the-loop (monitoring) to correctly identify scenarios where human intervention occurs before vs. after the AI action.
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
✓
Human-in-the-loop
The Human-in-the-loop (HITL) pattern ensures that a human reviews and can override the AI's suggestions before any final action is executed. This design explicitly maintains human oversight over critical decisions, preventing fully automated actions that could lead to harmful or unintended outcomes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Human-on-the-loop
Why it's wrong here
Human-on-the-loop means a human monitors and can intervene during operation, but the AI still acts by default; the stem requires users to override suggestions before any final action, which is human-in-the-loop approval. It is tempting because both patterns involve human oversight, and would be correct if the AI executed actions while a supervisor watched.
- ✓
Human-in-the-loop
Why this is correct
Human-in-the-loop places a person at the decision point, letting users review and override the assistant's suggestions before any final action executes. This directly satisfies the stem's requirement for user override prior to commitment, unlike fully automated patterns where the model's output is actioned without intervention.
- ✗
Human-out-of-the-loop
Why it's wrong here
Human-out-of-the-loop removes human involvement entirely, so users could not override suggestions before final actions; the stem explicitly requires that override capability. It is tempting because it describes fully automated pipelines, and would be correct if the scenario wanted autonomous execution with no human review at any stage.
- ✗
Automated decision-making
Why it's wrong here
Automated decision-making has the system decide without human review, contradicting the requirement that users override suggestions before final actions. It is tempting because it is the standard term for AI-driven decisions, and would be correct if the scenario wanted the assistant to commit actions autonomously without any human approval step.
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