Definition
Human-in-the-loop design defines which decisions AI can make independently and which require human judgment. It is a guardrail for quality, safety, accountability, and trust.
How it works
Teams set thresholds, review queues, approval gates, and escalation paths. The AI handles low-risk work while humans review uncertain, sensitive, or high-impact cases.
Why it matters at work
The more AI acts inside real workflows, the more important it is to decide where human responsibility sits. Human-in-the-loop patterns prevent automation from outrunning accountability.
Workplace example
A claims system drafts a recommendation, but a human adjuster approves denials, exceptions, and edge cases before customers receive a decision.
Frequently Asked Questions
When does AI need human review?
Human review is needed when outputs affect rights, money, health, employment, compliance, customer trust, or any decision where errors carry meaningful harm.