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Graham Kendall – Journal of Academic Ethics, 2025
Most, if not all, journals require the use of Large Language Models (LLMs), such as ChatGPT, to be acknowledged. This article argues that current guidelines do not go far enough as the use of an LLM may be acknowledged but the reviewers, and future readers, do not know which parts of the article were generated with AI (Artificial Intelligence)…
Descriptors: Artificial Intelligence, Scientific Research, Publications, Authors
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Yongyan Li; Hui Chen; Xiaoling Liu; Simon Wang – Journal of Academic Ethics, 2025
This paper presents a thematic review of the anti-plagiarism instruction of content specialists as reported in a range of articles published in the decade of 2014-2023. A total of 28 articles were identified through systematic searching and a ChatGPT-assisted selection process based on a set of inclusion criteria. Specifically, we aimed to include…
Descriptors: Plagiarism, Educational Research, Artificial Intelligence, Man Machine Systems
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Brady D. Lund; Tae Hee Lee; Nishith Reddy Mannuru; Nikhila Arutla – Journal of Academic Ethics, 2025
The emergence of generative artificial intelligence tools, such as ChatGPT, presents new challenges impacting student perceptions of academic integrity. While extensive research exists on academic misconduct and student perceptions of various infractions, there is limited understanding of how AI tools impact these views and whether their use…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Student Attitudes
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Sam Sedaghat – Journal of Academic Ethics, 2025
Chatbots such as ChatGPT have the potential to change researchers' lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors' credibility could be tarnished if wrong content is presented in…
Descriptors: Plagiarism, Artificial Intelligence, Medical Research, Error Patterns
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Saman Ebadi; Hassan Nejadghanbar; Ahmed Rawdhan Salman; Hassan Khosravi – Journal of Academic Ethics, 2025
This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…
Descriptors: Artificial Intelligence, Peer Evaluation, Periodicals, Journal Articles