- WORLD VIEW
Artificial intelligence’s ability to enrich science will depend not only on model capability, but also on whether researchers, reviewers and funders reward originality over speed.
By
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Xizhe Zhang
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Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
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Artificial intelligence is changing from an auxiliary tool into an integral part of the infrastructure for science. Tasks that once demanded large, interdisciplinary teams, such as literature review, experimental design and model building, can increasingly be handled by smaller groups equipped with strong judgement and effective AI systems.
Nature 654, 843 (2026)
doi: https://doi.org/10.1038/d41586-026-01954-2
Competing Interests
The author declares no competing interests.
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