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Jargon Buster / Human in the Loop

Human in the Loop.

AI & Automation

A design where a person reviews or approves an AI system's work at set points before it takes effect.

What is human in the loop?

Human in the loop is a design approach where a person reviews, approves or corrects the work of an AI or automated system at set points before it takes effect.

The AI does the heavy lifting, such as drafting the reply, scoring the lead or extracting the invoice details, and a person makes the call on anything that matters before it goes out or changes a record.

Why it matters

Human review is what lets a business automate tasks that would otherwise be too risky to hand over. It keeps a person accountable for customer communications, payments and decisions about people. There is a legal angle too: UK data protection law gives individuals safeguards, including the right to human intervention, when significant decisions about them are made solely by automated means. If an automated process affects someone's job application, credit or access to a service, plan for human involvement from the start.

What good looks like

  • Checkpoints where risk sits Put review on anything that leaves the business, spends money or affects a person, and let low-risk steps run alone.
  • Fast approval Show the reviewer the draft, the source and a one-click approve or edit, so checking takes seconds.
  • Confidence routing Send only uncertain or unusual cases to a person and let routine ones through.
  • Captured corrections Record what reviewers change, so prompts and rules improve over time.

The honest view

Done badly, human in the loop fails in two opposite ways. Either a person checks every item and no time is saved, or they face hundreds of approvals a day and start clicking 'approve' without reading. The second is worse, because everyone believes there is a safeguard when in practice there is none.

The underrated move is tracking how often reviewers change the output. If edits are rare on a task, you can loosen the loop. If they are frequent, the automation needs fixing rather than more checking.

What to do about it

For each automation or AI tool you run, write down what a mistake would cost and who would notice. Put a human approval step on outbound customer messages, payments, publishing and decisions about individuals. Review a small sample of the fully automated items each week. Log how often reviewers edit or reject the AI's work, and use that figure to decide where to tighten or relax the checks.

Related terms.

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