CƠ HỘI THỰC TẬP NGHỀ NGHIỆP IAESTE
- Thứ hai, 02 14 2022
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- PL-2022-PWR014.pdf (3635 lượt tải)
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Thứ ba, 13 Tháng 10 2026 02:40
posted by
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Sending every AI output to a person creates delay without guaranteeing careful review, while sending none can hide costly errors. A better design routes cases according to both uncertainty and the consequence of a wrong decision. This human-in-the-loop AI design can define those boundaries.
The reviewer needs the source material and proposed action. The escalation reason belongs beside them. A bare model answer provides too little context. https://ai-software-development.net
An AI review workflow should record approval, correction or rejection as distinct outcomes. Corrections may become evaluation cases after privacy review. The queue also needs a fallback when reviewers are unavailable. Pausing the action is safer than silently approving it. -
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