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人工智能在投资管理中的应用：来自风险前沿的5点启示

投资者必须时刻注意人工智能的能力与局限性

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    • 投资团队应设计工作流程，让由人工智能驱动的推理工具来辅助而非取代人类的直觉。
    • 投资团队应设计工作流程，让由人工智能驱动的推理工具来辅助而非取代人类的直觉。 图片来源：PIXABAY

    Markus Schuller ,

    Michelle Sisto ,

    Wojtek Wojaczek ,

    Franz Mohr ,

    Patrick Wierckx &

    Jurgen Janssens

    Published Tue, Oct 21, 2025 · 04:15 PM

    本文由AI辅助翻译

    查看原文

    人工智能（AI）正在改变投资决策的制定方式，并且这一趋势将持续下去。

    若使用得当，这项技术能够提升专业判断力并改善投资结果。但它也伴随着风险：目前的推理模型尚不成熟，监管护栏尚未到位，而过度依赖人工智能的输出可能会用虚假信号扭曲市场。

    本专栏的见解源于一个由投资专家、学者和监管人员组成的团队，他们正合作撰写一份面向金融专业人士的双月刊《投资管理中的增强智能》（Augmented Intelligence in Investment Management）。

    此翻译对您是否有帮助？

    CFA Singapore InsightsArtificial IntelligenceInvestment management

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