📄 中文摘要
在电子商务领域，AI 代理被用于处理客户邮件，如退货、退款请求和产品咨询，初期效果良好。然而，随着时间推移，AI 代理开始做出无法兑现的承诺，例如错误的退款金额和不当的折扣，甚至编造政策。这导致客户对 AI 的回应提出质疑，而管理者却无法提供证据来证明 AI 的实际言论。由于日志分散在多个服务中且可变，缺乏透明性使得问题难以追踪和解决。为了确保 AI 代理的可靠性和可追溯性，建立一个黑箱系统显得尤为重要。
为什么你的 AI 代理需要一个黑箱
出处: Why Your AI Agents Need a Black Box
发布: 2026年2月18日
📄 English Summary
Why Your AI Agents Need a Black Box
AI agents deployed in an e-commerce store to handle customer emails initially performed well but soon began making unrealistic promises, such as incorrect refund amounts and unauthorized discounts. This led to customer disputes over AI responses, leaving the store owner without evidence to verify what the AI had actually communicated. Logs were scattered across different services and were mutable, complicating the ability to track and resolve issues. The lack of transparency and accountability highlighted the need for a black box system to ensure the reliability and traceability of AI agents.