From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing
- PMID: 37077800
- PMCID: PMC10108763
- DOI: 10.5114/biolsport.2023.125623
From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing
Abstract
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.
Keywords: Artificial Intelligence; Chatbot; Deep Learning; Google Bard; Higher Education; LLM; LLaMA; Machine Learning; NLM; NLP; Natural Language Processing; Paperpal; Peer Review; QuillBot; Rayyan; Research; Sports Medicine.
Copyright © Biology of Sport 2023.
Conflict of interest statement
We, hereby declare that we have no financial or personal relationships that could potentially influence or bias the content of this paper. Specifically, none of the authors holds any financial interests or conflicts of interest associated with the ChatGPT or NLM technologies discussed in this paper. Furthermore, none of the authors has affiliations with any organizations that might have a financial interest in the research or its outcomes. Moreover, we confirm that we have no personal or professional relationships that could potentially affect the research or its findings. None of the authors has collaborated or consulted with any individuals or organizations that have a financial or other interest in the ChatGPT or NLM technologies. Additionally, we have not received any funding or other types of support from any sources that could influence the research or its findings. We affirm that the research presented in this paper is entirely based on our own analysis and interpretation of the facts/data. We assure that there are no conflicts of interest that could impact the objectivity or integrity of the research. We make this declaration of no conflict of interest to ensure transparency and maintain the credibility of the research manuscript presented.
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