科技科学

Preserve research data for tomorrow’s AI-enabled integrity checks

Nature作者：Qingde Shi2026年10月13日查看原文 ↗
  • CORRESPONDENCE

By

  • Jinlei Nie1 &
  • Zhaowei Kong2
  1. Qingde Shi

    1. Macao Polytechnic University, Macau, China.

  2. Jinlei Nie

    1. Macao Polytechnic University, Macau, China.

  3. Zhaowei Kong

    1. University of Macau, Macau, China.

Nature’s report on artificial-intelligence tools being used to detect long-standing errors in scientific papers illustrates that retrospective scrutiny is possible (see Nature 656, 278–279; 2026). Such checks would be more robust if the tools had access to the original files.

Nature 658, 834 (2026)

doi: https://doi.org/10.1038/d41586-026-03244-3

Competing Interests

The authors declare no competing interests.

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