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

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Bibliographic Details
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]
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Database: GreenFILE
Description
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]
ISSN:15513777
DOI:10.1093/inteam/vjag028