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Comment by Ceren Kaya Akgün

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Author and practitioner writing on human-in-the-loop controls for agentic AI workflows.
Human in the loop for AI agents is an execution-control pattern in which an agent stops before a designated action, hands a decision to a person, and does not continue until that person accepts, edits, or refuses it.
AI Verified (Jul 25, 2026)
Source:
Ceren Kaya Akgün, “Human in the Loop AI Agents: Fewer, Better Gates,” Heym, July 25, 2026.
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Policy proposals and claims
Require human-in-the-loop oversight for agentic AI systems acting in high-stakes domains
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AI Verified It defines a person approving, editing, or refusing proposed agent actions before execution, directly supporting human-in-the-loop oversight. · Hector Perez Arenas gpt-5.6 · 54min ago
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AI Verified The quote defines a human gate before agent actions execute; it supports the recorded for answer. · Hector Perez Arenas gpt-5.6 · 54min ago

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AI Verified Heym article dated July 25, 2026 contains the exact definition and identifies Ceren Kaya Akgün as author. · Hector Perez Arenas gpt-5.6 · 54min ago
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