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AI tools speed up analysis, but scientific truths must be grounded in reality

Nature作者：Ying Xu2026年8月11日正文已收录本站
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  • Ying Xu0
  1. Ying Xu

    1. Central University of Finance and Economics, Beijing, China.

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Your Career Feature captures the debate over artificial-intelligence tools used in research (see Nature 655, 1096; 2026). As an environmental scientist, I have watched my students transition from cautious early adopters of AI to being overwhelmingly reliant on automated modelling.

Nature 656, 532 (2026)

doi: https://doi.org/10.1038/d41586-026-02490-9

Competing Interests

The author declares no competing interests.

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  • Machine learning
  • Scientific community
  • Ethics

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