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Artificial intelligence in scientific review and writing: What should we be doing?

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Title: Artificial intelligence in scientific review and writing: What should we be doing?
Authors: Wenning, Richard J1,2 (AUTHOR) rjwenning@wenning.com
Source: Integrated Environmental Assessment & Management. May2026, Vol. 22 Issue 3, p633-636. 4p.
Subject Terms: Generative artificial intelligence, Ethical problems, Scholarly peer review, Reproducible research, Technical writing, Honesty, Artificial intelligence, Education ethics
Abstract: The article focuses on the implications of generative artificial intelligence (GenAI) tools, such as large language models and AI-powered research platforms, in scientific review and writing. It highlights significant concerns about AI-generated content, including fabricated citations, loss of critical judgment, accountability issues, and threats to transparency and reproducibility across multiple disciplines like medicine, engineering, law, and environmental science. While misuse of GenAI has led to numerous retractions and ethical challenges, the article acknowledges potential benefits when AI is used responsibly for language editing, literature screening, and technical support under human oversight. It emphasizes that maintaining scientific integrity requires transparent disclosure, critical evaluation, and adherence to evolving guidelines from academic institutions and publishers to balance technological efficiency with ethical and epistemic standards. [Extracted from the article]
Copyright of Integrated Environmental Assessment & Management is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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  Data: Artificial intelligence in scientific review and writing: What should we be doing?
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  Data: <searchLink fieldCode="AR" term="%22Wenning%2C+Richard+J%22">Wenning, Richard J</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rjwenning@wenning.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Integrated+Environmental+Assessment+%26+Management%22">Integrated Environmental Assessment & Management</searchLink>. May2026, Vol. 22 Issue 3, p633-636. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Ethical+problems%22">Ethical problems</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarly+peer+review%22">Scholarly peer review</searchLink><br /><searchLink fieldCode="DE" term="%22Reproducible+research%22">Reproducible research</searchLink><br /><searchLink fieldCode="DE" term="%22Technical+writing%22">Technical writing</searchLink><br /><searchLink fieldCode="DE" term="%22Honesty%22">Honesty</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Education+ethics%22">Education ethics</searchLink>
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  Data: The article focuses on the implications of generative artificial intelligence (GenAI) tools, such as large language models and AI-powered research platforms, in scientific review and writing. It highlights significant concerns about AI-generated content, including fabricated citations, loss of critical judgment, accountability issues, and threats to transparency and reproducibility across multiple disciplines like medicine, engineering, law, and environmental science. While misuse of GenAI has led to numerous retractions and ethical challenges, the article acknowledges potential benefits when AI is used responsibly for language editing, literature screening, and technical support under human oversight. It emphasizes that maintaining scientific integrity requires transparent disclosure, critical evaluation, and adherence to evolving guidelines from academic institutions and publishers to balance technological efficiency with ethical and epistemic standards. [Extracted from the article]
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  Data: <i>Copyright of Integrated Environmental Assessment & Management is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1093/inteam/vjag028
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 633
    Subjects:
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Ethical problems
        Type: general
      – SubjectFull: Scholarly peer review
        Type: general
      – SubjectFull: Reproducible research
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      – SubjectFull: Technical writing
        Type: general
      – SubjectFull: Honesty
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Education ethics
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      – TitleFull: Artificial intelligence in scientific review and writing: What should we be doing?
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              Text: May2026
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              Y: 2026
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