AI工具提升個別科學家產出，卻可能限制整體研究範疇

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AI tools boost individual scientists but could limit research as a whole

Veda C. Storey is at the J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia 30302, USA.

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Artificial intelligence is influencing many aspects of society, including science. Writing in Nature, Hao et al.1 report a paradox: the adoption of AI tools in the natural sciences expands scientists’ impact but narrows the set of domains that research is carried out in. The authors examined more than 41 million papers, roughly 311,000 of which had been augmented by AI in some way — through the use of machine-learning methods or generative AI, for example. They find that scientists who conduct AI-augmented research publish more papers, are cited more often and progress faster in their careers than those who do not, but that AI automates established fields rather than supporting the exploration of new ones. This raises questions and concerns regarding the potential impact of AI tools on scientists and on science as a whole.

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doi: https://doi.org/10.1038/d41586-025-04092-3

References

Hao, Q., Xu, F., Li, Y. & Evans, J. Nature https://doi.org/10.1038/s41586-025-09922-y (2025).

Article 

                Google Scholar

Russell, S. J. & Norvig, P. Artificial Intelligence: A Modern Approach 4th edn (Pearson Educ., 2021).

Google Scholar

Milojević, S. Nature 642, 870–871 (2025).

Article 
PubMed 

                Google Scholar

Kahneman, D. Thinking, Fast and Slow (Farrar, Straus and Giroux, 2011).

Google Scholar

Guizzardi, G., Pastor, O. & Storey, V. C. IEEE Softw. 40, 139–142 (2023).

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Competing Interests

The author declares no competing interests.

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