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新加坡提早面临人工智能的挑战，关键在于你所能证实的数据

仅存于政策文件的治理在实际应用中会失效；它必须内化于数据的收集、分享和使用方式之中

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阻碍人工智能推广的问题是实际的，而非哲学的：这些数据从何而来？适用哪些权利？当出现问题时，我们能否将输出追溯到其输入？图片来源：PIXABAY

Zac Cheah

Published Thu, Apr 2, 2026 · 07:00 AM

本文由AI辅助翻译

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数据信任并非新问题——企业多年来一直在努力解决。新的是其紧迫性：随着生成式人工智能（AI）进入实际应用阶段，了解您的数据来源、您是否有权使用它，以及您是否能解释人工智能的输出，这些都已是必要条件。

Tharman Shanmugaratnam 总统最近表示，新加坡将比许多经济体更早面临人工智能的挑战，而更深层次的考验是确保人工智能带来的生产力收益能惠及“各阶层的劳动力”。

这种紧迫感在2026年财政预算案推动全国人工智能洗牙的举措中得到进一步体现。这包括成立由总理 Lawrence Wong 担任主席的新国家人工智能理事会，其任务涵盖制造业产业群、互联互通、金融和医疗保健等领域。

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