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AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation
Journal article   Open access   Peer reviewed

AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation

Nash Anderson, Daniel L Belavy, Stephen M Perle, Sharief Hendricks, Luiz Hespanhol, Evert Verhagen and Aamir R Memon
BMJ Open Sport & Exercise Medicine, Vol.9(1), e001568
2023
PMID: 36816423
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CC BY-NC V4.0 Open Access

Abstract

Editorial Medical Ethics Position statement Sports Sports & exercise medicine
Researching a topic and generating an academic paper is a nuanced skill. It can take months or years to produce and publish one, if it is ever published at all. What if there were a way to make this happen instantly? Artificial intelligence (AI) may hold a flame to quickly analyse a research topic and generate an academic paper. There are many forms of AI; this editorial discusses natural language model-based AI, such as ChatGPT, and their potential ability to generate academic papers. Natural language model-based AI, in particular ChatGPT, is generating new content and a lot of controversies. This AI software is innovative. It generates, de novo, content that has a natural conversational flow. It can quickly answer questions and write poems, fan fiction and children’s books.1 ChatGPT has even passed the United States Medical Licensing Examination theory section with no additional training and/or years of studying medicine.2 Language-based AI has already entered the scientific community. Nature reported that four manuscripts in preprint credit ChatGPT as an author.3 Also, an article reported that AI had been used to generate an academic paper.4 In this editorial, we discuss the pros and cons of AI for manuscript generation in sports and exercise medicine (SEM), generate an academic paper using AI and bypass AI-generation detection, and discuss potential concerns regarding natural language model-based AI. We aim to get insights on how AI, in particular ChatGPT and similar language model-based AI, will impact the future of manuscript generation in SEM. To achieve such purpose, we ought to consider what is an academic paper, whether AI should write academic papers, what the issues are, what our stance should be on AI-generated texts and how we deal with them.

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