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东南亚的“负责任AI”宏图，关键在于人才储备

要确保可持续创新，关键不在于我们的系统能变得多先进，而在于我们如何更好地培养人才来引导它们。

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    • 要规模化应用负责任的人工智能，首先要培养一支不仅懂技术，还理解其原则、风险及深远影响的专业人才队伍。
    • 要规模化应用负责任的人工智能，首先要培养一支不仅懂技术，还理解其原则、风险及深远影响的专业人才队伍。 插图：路透社

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

    Bhavna Rawlley

    Published Fri, Dec 19, 2025 · 07:00 AM

    本文由AI辅助翻译

    查看原文

    从阿尔巴尼亚雄心勃勃地任命人工智能（AI）部长，到联合国就该技术武器化潜力发出的严正警告，人工智能持续主导着全球性的话题讨论。

    然而，在技术飞速发展和各种头条新闻层出不穷的背景下，一个关键的对话却未得到充分讨论：负责任人工智能的重要性，以及人类在实现这一目标中所扮演的角色。

    作为可持续创新的基石，负责任人工智能旨在开发和管理能够为人类、社会及环境带来最大效益，同时将风险降至最低的AI系统。

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