Policy & Governance
Human-in-the-Loop
A system design where human judgment is required at critical decision points in an AI workflow.
Human-in-the-loop (HITL) refers to any AI system or process where a human must review, validate, or approve the AI's output before it takes effect. In enterprise AI governance, HITL applies at multiple levels:
- Tool approval: A human reviewer evaluates and approves AI tools before they're deployed
- Output review: Critical AI-generated content (customer communications, financial analysis, code) is reviewed by a human before use
- Exception handling: AI systems escalate edge cases or low-confidence decisions to human operators
- Policy enforcement: Security teams review and act on shadow AI discoveries rather than relying on automated blocking alone
The EU AI Act requires human oversight for high-risk AI systems, making HITL a compliance requirement in many contexts.
Why it matters
HITL is the bridge between AI capability and organizational trust. It lets organizations adopt AI tools faster because there's a safety net — decisions don't go unchecked.