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社论建议限制生成式AI在科学研究中的作用
Charles Branas和Bruce Levine发表社论,提议为AI在科学中的使用设定规范,强调人类监督的重要性。
AI推荐理由 关于AI在科学研究中角色的规范性讨论,提出限制建议,但属于观点性内容,缺乏实证。
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September 8, 2026
Editorial proposes limits on generative AI's role in scientific research
by PNAS Nexus
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Swati Mestri, reviewed by Andrew Zinin
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An editorial by Charles Branas and Bruce Levine proposes norms for the use of AI in science.
The study will be published in PNAS Nexus.
The authors distinguish between using AI tools for nongenerative tasks, such as data classification or copy editing, and using AI tools to generate scientific ideas or seed research questions.
While the former is broadly acceptable, they argue, the latter deserves more scrutiny and should be disclosed in scientific manuscripts.
The use of generative AI for the core intellectual, creative, ethical, interpretive or accountability-bearing work of research—where AI replaces human interpretation and judgment—should be disallowed, according to the authors.
Additionally, the authors propose that researchers should not use AI to generate their own initial research ideas or research questions or to make ethical determinations, risk assessments or policy recommendations.
AI can reduce science's happy accidents and human insights if everyone relies on the same tools with similar inputs, the authors argue. They note that science should not be unthinkingly optimized as if it were a manufacturing workflow producing standardized outputs. Science requires a wide diversity of inputs, approaches and ideas.
Generative AI is trained to produce probable outputs based on known patterns and existing data, whereas scientific breakthroughs often require departing from prior assumptions and breaking free of typical patterns. Serendipity counts in science.
According to the authors, the originating research question and final evidentiary judgment in every scientific publication should be produced by human minds.
Publication details
AI and authorship: Norms and uses to preserve human-led science, PNAS Nexus (2026). academic.oup.com/pnasnexus/art … 93/pnasnexus/pgag277
Journal information:
PNAS Nexus
Key concepts
Generative AI ethics
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PNAS Nexus
Who's behind this story?
Swati Mestri
Swati Mestri holds a bachelor's degree in Electronics Engineering and has worked as a content editor since 2019. She has experience editing research documents across technology, health care, and materials science, and has a particular interest in technology and space.
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Andrew Zinin
Master's in physics with research experience. Long-time science news enthusiast. Plays key role in Science X's editorial success.
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Editorial proposes limits on generative AI's role in scientific research (2026, September 8)
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