Human-in-the-Loop (HITL)
Working knowledgeGovernance, Safety and Ethics
Also called: HITL
Human-in-the-loop is a workflow design in which a person reviews, approves or corrects AI output before it takes effect. It is the standard framing for responsible AI deployment in high-stakes environments. It is not a rejection of automation but a deliberate decision about where human judgement stays in the chain.
In practice
Every review step is a real cost and a real throughput limit, so decide which decisions genuinely need one instead of applying the pattern everywhere. The useful test is what a reversal costs: if a wrong output can be undone cheaply, gating it on a person buys very little.