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

📅 Published: January 1, 2023 👤 Ismail Dergaa, Karim Chamari, Piotr Żmijewski et al. 📖 Biology of Sport 📊 730 citations
AI-Generated Summary

Natural language processing (NLP) has been studied in computing for decades. This study highlights the need for comprehensive debates and ethical considerations involved in their use.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Recent technological advancements have led to the development of sophisticated artificial intelligence (AI) models, such as Chat Generative Pre-trained Transformer (ChatGPT).
  • 2 These models can perform a range of language tasks and generate human-like responses, which offers exciting prospects for academic efficiency.
  • 3 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.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 1, 2023
Journal Biology of Sport
DOI 10.5114/biolsport.2023.125623
Citations 730
Authors Ismail Dergaa, Karim Chamari, Piotr Żmijewski, Helmi Ben Saad