Unverified50% confidenceFactExact time
"Human in the loop" (HITL) in the context of AI Agents typically takes three forms: pre-action approval, in-process supervision and post-hoc auditing.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
AI Agents vs. ChatGPT: The Paradigm Shift from Passive Responses to Autonomous Action
youtubeMastering AI in Minutes10/23/2026
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VerifiedHITL（Human-in-the-Loop，人机协同）概念源于自动化控制领域，用于在 Agent 遇到高风险、高不确定性操作时进行人工审核确认77% similarUnverified人在回路（HITL）在企业级Agent应用中通常以审批门控、异常升级、监督采样三种形式出现77% similarVerifiedAI Agent policy testing typically needs to cover three key layers: Intent, Role-Based Access Control (RBAC), and Approvals.76% similarUnverifiedThe authors propose that a multi-level governance framework for AI Agent behavior should be established, including introducing stronger alignment verification during the development stage, implementing dynamic behavior monitoring during the deployment stage, and promoting safety standards and accountability norms specifically for autonomous Agents at the industry level.72% similarUnverifiedThe fusion of deterministic rules and AI judgment is likely to become the general paradigm in the field of agent governance.72% similar
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