Human-in-the-loop refers to a design principle where a person reviews, approves, or can override an AI system’s output before it takes effect, rather than allowing the AI to act fully autonomously.
Why It Matters
For any decision with real consequences, hiring, lending, medical guidance, keeping a human in the review process catches AI errors before they cause harm and provides the accountability regulators increasingly require for automated decision-making.
A Practical Example
An AI system flags loan applications for approval or denial, but a human loan officer reviews every AI-recommended denial before it’s communicated to the applicant, catching any cases where the model’s reasoning doesn’t hold up.
Related Terms
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