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Updated: Sep 9, 2025

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
570
Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet).
Heather Desaire1, Madeline Isom1, David Hua1
1Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA.
Summary
Undisclosed use of ChatGPT in scientific papers is low, estimated at 1-3% in introductions. Most scientists avoid AI for late-stage writing, indicating limited AI impact on mainstream journals.
Area of Science:
- Scientific publishing
- Artificial Intelligence in Research
- Academic Integrity
Background:
- The rapid advancement of generative AI, including ChatGPT, raises concerns about its potential undisclosed use in scientific writing.
- Previous methods for detecting AI-generated text often rely on obvious linguistic markers, which may not be present in sophisticated AI writing.
Purpose of the Study:
- To quantify the prevalence of undisclosed ChatGPT use in scientific paper introductions.
- To assess the extent to which generative AI is impacting mainstream scientific journals.
Main Methods:
- A stylistics approach was employed to analyze 19,000 scientific introductions from ten MDPI journals published in 2023 and early 2024.
- The methodology focused on detecting AI-generated text without relying on explicit AI-related phrases.
Main Results:
- An estimated 1-3% of the analyzed introductions showed evidence of undisclosed ChatGPT use for writing or significant editing.
- The rate of undisclosed AI writing was consistent across the selected MDPI journals.
- No significant pollution of mainstream journals by generative AI was detected.
Conclusions:
- Generative AI, specifically ChatGPT, is not yet widely adopted for late-stage writing or editing by the majority of scientists.
- The study provides the first systematic evidence of detecting undisclosed AI writing in published manuscripts, suggesting a cautious approach by researchers.
- Current AI integration into scientific publishing appears limited, with scientists largely remaining hesitant to use these tools extensively.
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