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

Brady Daniel Lund, Ting Wang, Nishith Reddy Mannuru, Bing Nie, Somipam Ronra Shimray, Ziang Wang

Journal of the Association for Information Science and Technology· 2023-03-10· article· 913 citationsgreen

Ethics and Social Impacts of AI Publishing and Scholarly Communication Academic integrity and plagiarism

Abstract

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.

Cite this

Brady Daniel Lund, Ting Wang, Nishith Reddy Mannuru, Bing Nie, Somipam Ronra 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 and Technology. https://doi.org/10.1002/asi.24750

@article{daniel2023chatgpt,
  title  = {ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing},
  author = {Lund, Brady Daniel and Wang, Ting and Mannuru, Nishith Reddy and Nie, Bing and Shimray, Somipam Ronra and Wang, Ziang},
  year   = {2023},
  journal = {Journal of the Association for Information Science and Technology},
  doi    = {10.1002/asi.24750}
}

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