Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
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vol. 40
Original paper

From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing

Ismail Dergaa
1, 2, 3
Karim Chamari
Piotr Zmijewski
Helmi Ben Saad
6, 7, 8

Primary Health Care Corporation (PHCC), Doha, Qatar
Research Unit Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
High Institute of Sport and Physical Education, University of Sfax, Sfax, Tunisia
Aspetar, Orthopaedic and Sports Medicine Hospital, FIFA Medical Centre of Excellence, Doha, Qatar
Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland
University of Sousse, Farhat HACHED hospital, Service of Physiology and Functional Explorations, Sousse, Tunisia
University of Sousse, Farhat HACHED hospital, Research Laboratory LR12SP09 «Heart Failure», Sousse, Tunisia
University of Sousse, Faculty of Medicine of Sousse, Laboratory of Physiology, Sousse, Tunisia
Biol Sport. 2023; 40(2):615–622
Online publish date: 2023/03/15
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Natural language processing (NLP) has been studied in computing for decades. Recent technological advancements have led to the development of sophisticated artificial intelligence (AI) models, such as Chat Generative Pre-trained Transformer (ChatGPT). These models can perform a range of language tasks and generate human-like responses, which offers exciting prospects for academic efficiency. This manuscript aims at (i) exploring the potential benefits and threats of ChatGPT and other NLP technologies in academic writing and research publications; (ii) highlights the ethical considerations involved in using these tools, and (iii) consider the impact they may have on the authenticity and credibility of academic work. This study involved a literature review of relevant scholarly articles published in peer-reviewed journals indexed in Scopus as quartile 1. The search used keywords such as “ChatGPT,” “AI-generated text,” “academic writing,” and “natural language processing.” The analysis was carried out using a quasi-qualitative approach, which involved reading and critically evaluating the sources and identifying relevant data to support the research questions. The study found that ChatGPT and other NLP technologies have the potential to enhance academic writing and research efficiency. However, their use also raises concerns about the impact on the authenticity and credibility of academic work. The study highlights the need for comprehensive discussions on the potential use, threats, and limitations of these tools, emphasizing the importance of ethical and academic principles, with human intelligence and critical thinking at the forefront of the research process. This study highlights the need for comprehensive debates and ethical considerations involved in their use. The study also recommends that academics exercise caution when using these tools and ensure transparency in their use, emphasizing the importance of human intelligence and critical thinking in academic work.

artificial intelligence, chatbot, deep learning, higher education, Google Bard, LLaMA, LLM, machine learning, natural language processing, NLM, NLP, Paperpal, peer review, QuillBot, Rayyan, research, sports wedicine

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