Cited by 10Artificial Intelligence ApplicationsEthics and Social Impacts of AIResearch, Science, and Academia

Why AI cannot do good science without humans

Open access
·2026·Nature

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Integrity signals

Registry

Crossref · 10.1038/d41586-026-01551-3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • The concern is not the use of LLMs per se, but whether they are integrated in ways that reinforce active reasoning and intellectual ownership, or instead encourage delegation of thinking itself.

    “The concern, therefore, is not the use of LLMs per se, but whether they are integrated in ways that reinforce active reasoning and intellectual ownership, or instead encourage delegation of thinking itself 38 .”

    From Reimagining biomedical science workflows in the age of large language models (2026) · cites this paper as [38]

    The editorial (section D, p. 650) says AI scientists should empower human researchers, not replace them. Our copy also describes humans guiding and checking AI systems, but it does not specifically address whether integrating LLMs reinforces active reasoning and intellectual ownership or encourages delegation of thinking. (LLM, conf=0.83)

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Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Perutz, M. F. Is Science Necessary? (Oxford Univ. Press, 1989).
  2. Ghareeb, A. E. et al. Nature https://doi.org/10.1038/s41586-026-10644-y (2026). · DOI
  3. Gottweis, J. et al. Nature https://doi.org/10.1038/s41586-026-10652-y (2026). · DOI

Cited by

Sorted by citations

Venue
Nature
Published
2026-05-19
Volume
653
Issue
8115
Pages
650-650
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W7161642531
Cited by
10
References
1
Citations by year
2026: 10
FWCI
34.17
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
Keywords
artificial intelligence in science, AI scientists, human wisdom, empathy, scientific progress, human-AI collaboration

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