What Is Human-in-the-Loop (HITL) in AI? A Practical Guide

Short summary

Human-in-the-loop (HITL) keeps humans involved in AI decisions through approval gates, draft review, or mid-task interruption. Research shows approval gates reduce bad actions by 60-74%, but humans catch mistakes only 9-26% of the time, revealing automation bias. The LoopRails framework calibrates oversight per action based on reversibility and impact rather than as a blanket policy.

• •Approval gates and review steps don't reliably catch AI mistakes due to automation bias
• •Human oversight should be tailored per-action based on reversibility and blast radius, not applied globally
• •The LoopRails framework provides a decision structure: Grade actions, Guard high-impact ones, Show real consequences, Prove oversight works

Generated with AI, which can make mistakes.