# Human In The Loop Hitl
**Source:** https://glossary.keenfunnel.com/terms/human-in-the-loop-hitl
**Language:** Hindi

---

## तकनीकी स्पष्टीकरण

Humans may label data, validate outputs, resolve exceptions, approve high-impact actions, provide feedback, or take control when thresholds are exceeded. Effective HITL design specifies who intervenes, what information they receive, response times, authority, escalation, and how their decisions are recorded.

## व्यावसायिक प्रासंगिकता

HITL can reduce risk in ambiguous, high-impact, or low-confidence situations while preserving automation for routine work. It supports accountability and creates operational feedback for improvement.

## कार्यान्वयन उदाहरण

An AI system drafts contract-risk findings but routes high-severity clauses and low-confidence results to qualified legal reviewers before any recommendation reaches a client.

## सीमाएँ और आम गलत धारणाएँ

Adding a person does not automatically create effective oversight. Reviewers may be overloaded, defer excessively to automation, lack context, or become a ceremonial approval step. Human review also adds cost and latency.

## विषय

एआई शासन इंटेलिजेंट ऑटोमेशन

## स्रोत

NIST SP 1270 — Managing Bias in AI — NIST AI RMF — https://www.nist.gov/itl/ai-risk-management-framework

## अपने सिस्टम पर चर्चा करें

इस अवधारणा को लागू करने या मूल्यांकन करने में मदद चाहिए? कीनफ़नेल कनेक्टेड एआई, स्वचालन और डेटा प्रणालियाँ डिज़ाइन करता है।

एक डिस्कवरी सत्र बुक करें