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人工智能代理陷阱：新加坡公司如何避免重蹈科技行业代价最昂贵的覆辙

AI 代理的部署应是高管层面的风险管理决策

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    • 三十年来，科技行业“完善”了一套代价高昂的剧本。
    • 三十年来，科技行业“完善”了一套代价高昂的剧本。 图片：路透社

    DeeperDive is a beta AI feature. Refer to full articles for the facts.

    Camellia Chan

    Published Thu, Feb 26, 2026 · 08:46 AM

    本文由AI辅助翻译

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    今年一月，在达沃斯，新加坡公布了针对自主人工智能 (AI) 代理的新治理规则——这是一种能够在有限的人工监督下进行独立推理、决策和执行多步骤任务的系统。

    这份《代理式人工智能示范治理框架》明确地针对了监管机构所称的“未经授权和错误的行为”，这些行为发生在 AI 代理访问客户数据库和财务记录等敏感信息之时。

    这一时机并非巧合。根据 Databricks 对全球超过 20,000 名客户进行的一项新研究，在短短四个月内，亚太地区协调的多代理 AI 系统的企业部署量激增了 327%。

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