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ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing

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  • Brady D. Lund
  • Ting Wang
  • Nishith Reddy Mannuru
  • Bing Nie
  • Somipam Shimray
  • Ziang Wang

Abstract

This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses natural language processing to fulfill text‐based user requests (i.e., a “chatbot”). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on academia and scholarly research and publishing. ChatGPT is seen as a potential model for the automated preparation of essays and other types of scholarly manuscripts. Potential ethical issues that could arise with the emergence of large language models like GPT‐3, the underlying technology behind ChatGPT, and its usage by academics and researchers, are discussed and situated within the context of broader advancements in artificial intelligence, machine learning, and natural language processing for research and scholarly publishing.

Suggested Citation

  • Brady D. Lund & Ting Wang & Nishith Reddy Mannuru & Bing Nie & Somipam Shimray & Ziang Wang, 2023. "ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 570-581, May.
    • Handle: RePEc:bla:jinfst:v:74:y:2023:i:5:p:570-581
    DOI: 10.1002/asi.24750
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    References listed on IDEAS

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    Cited by:

    1. Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024. "Generative AI Usage and Exam Performance," Papers 2404.19699, arXiv.org, revised Nov 2024.
    2. Junwei Su & Shan Wu & Jinhui Li, 2024. "MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning," Papers 2401.14199, arXiv.org, revised Feb 2024.
    3. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Dwivedi, Yogesh K. & Malik, Tegwen, 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    4. Rana, Nripendra P. & Pillai, Rajasshrie & Sivathanu, Brijesh & Malik, Nishtha, 2024. "Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance," Technovation, Elsevier, vol. 135(C).

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