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AI & Machine Learning · Foundational

Human-in-the-Loop (HITL)

Design in which humans review, approve or correct AI outputs or actions at defined points.

Definition

HITL checkpoints are used for high-impact actions such as payments, deletions or external communications, and for low-confidence predictions. Amazon Augmented AI (A2I) provides human review workflows for ML predictions.

Exam tip

Require human approval for irreversible or high-risk agent actions.

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