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关于Chat GPT在科学写作中的应用的以概念为中心的综合矩阵框架(SMF):从偏见走向危险的历程???

A concept-centric synthesis matrix framework (SMF) on application of Chat GPT in scientific writing: A journey from bigotry to Peril???

作者信息

Bommanavar Sushma, Prabhu Vishnudas

机构信息

Centre for Global Health Research, Dental Research Unit, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.

Department of Oral Pathology, Yenepoya Dental College, Mangalore, Karnataka, India.

出版信息

J Oral Maxillofac Pathol. 2025 Apr-Jun;29(2):318-323. doi: 10.4103/jomfp.jomfp_270_24. Epub 2025 Jun 30.

Abstract

Amidst the new arrival of application of ChatGPT (Chat Generative Pre training Transformer) for scientific writing and in biomedical research projects, this AI powered chatbot is liable for "" as the information provided by it, at times, does not relate to the real world scenario and needs continuous monitoring and re evaluation by human intervention. Though it has been mooted as a new panacea for students, researchers, and academicians to write credible scientific writing, the issue remains: ""? Identifying this research gap, we intended to pen down a concept centric synthesis matrix framework (SMF) to identify the usages and perils of employing Chat GPT as a credible tool in the field of scientific writing in academics and research. Google Scholar and PubMed search databases were implemented with search strings using Boolean terms such as "Chat GPT", "Scientific writing", "Chat GPT and scientific writing", Chat GPT and Biomedical research", "Artificial hallucinations and Chat GPT", "Advantages and Chat GPT", "Disadvantages and Chat GPT", "Accuracy of Chat GPT and Scientific writing". We sourced articles, chiefly full text, written in the English language. The review was further assessed by using three category rubrics applying specific parameters such as coverage, synthesis, and significance of included studies. This review highlighted inferences derived from evidence based studies in which Chat GPT has reported huge concerns related to plagiarism, ethics, bias, incorrect content, etc., when used in scientific writing platforms. Hence, it cannot be a reliable tool and needs supervision by human intervention. This review additionally emphasized the importance of applying the SMF as a guiding principle in the field of scientific writing and hence should be included as a modification in curriculum design by educationalists and policy reformers in higher education as a quality enhancement initiative in the discipline of research.

摘要

在ChatGPT(聊天生成预训练变换器)应用于科学写作和生物医学研究项目的新趋势中,这个由人工智能驱动的聊天机器人存在问题,因为它提供的信息有时与现实世界的情况不符,需要人工干预进行持续监测和重新评估。尽管它被吹捧为学生、研究人员和学者撰写可信科学文章的新万灵药,但问题仍然存在:?认识到这一研究空白,我们打算写下一个以概念为中心的综合矩阵框架(SMF),以确定在学术和研究领域的科学写作中使用ChatGPT作为可信工具的用途和风险。使用布尔术语如“ChatGPT”、“科学写作”、“ChatGPT与科学写作”、“ChatGPT与生物医学研究”、“人工幻觉与ChatGPT”、“ChatGPT的优势”、“ChatGPT的劣势”、“ChatGPT与科学写作的准确性”等搜索字符串,在谷歌学术和PubMed搜索数据库中进行检索。我们主要获取英文撰写的全文文章。通过使用三个类别标准,应用诸如纳入研究的覆盖范围、综合程度和重要性等特定参数,对该综述进行进一步评估。这篇综述强调了基于证据的研究得出的推论,即在科学写作平台中使用ChatGPT时,它在抄袭、伦理、偏见、内容错误等方面存在诸多问题。因此,它不能成为一个可靠的工具并且需要人工干预进行监督。这篇综述还强调了将SMF作为科学写作领域指导原则的重要性,因此教育工作者和高等教育政策改革者应将其纳入课程设计的修改内容中,作为该研究领域质量提升的一项举措。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9eb/12283038/2982a46b9741/JOMFP-29-318-g001.jpg

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