From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing
By Ismail Dergaa, K. Chamari, P. Żmijewski, H. Ben Saad. Biology of Sport, 2023
714 citations recorded by the source corpus.
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.
Subfields: Health Informatics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/a3c0719d847a8cab836500a0ee3b9f4717ed136d
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In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions (2023, background): “possible, it is essential to make sure that it is trained on high-quality, relevant data and that the interpretation rules are clearly stated [129].”
- The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review (2024, background): “Critical thinking at higher levels involves considering evidence, context, conceptualization, methods, and the criteria required for judgment (Dergaa et al., 2023), emphasizing a comprehensive and evaluative approach to thinking that goes beyond surface-level analysis (Rodriguez & Towns, 2018).”
- When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings (2024, unknown): “They are being used for academic writing (Buruk, 2023; Agarwal et al., 2024; Cheng et al., 2024; Dergaa et al., 2023; Khraisha et al., 2024; Marlow and Wood, 2021; Cabanac et al., 2021), journalism (Petridis et al., 2023), story generation (Valentini et al., 2023; Xie et al., 2023; Zhao et al.,…”