Journal of Intelligent Communication

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Rethinking Plagiarism in the Era of Generative AI

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https://doi.org/10.54963/jic.v4i1.220
Hutson, J. (2024). Rethinking Plagiarism in the Era of Generative AI. Journal of Intelligent Communication, 4(1), 20–31. https://doi.org/10.54963/jic.v4i1.220
Volume 4 Issue 1 (2024): In Progress
Copyright (c) 2024 James Hutson
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Authors

  • James Hutson
    Department of Art History and Visual Culture, Lindenwood University, Saint Charles, MO 63301, USA

The emergence of generative artificial intelligence (AI) technologies, such as large language models (LLMs) like ChatGPT, has precipitated a paradigm shift in the realms of academic writing, plagiarism, and intellectual property. This article explores the evolving landscape of English composition courses, traditionally designed to develop critical thinking through writing. As AI becomes increasingly integrated into the academic sphere, it necessitates a reevaluation of originality in writing, the purpose of learning research and writing, and the frameworks governing intellectual property (IP) and plagiarism. The paper commences with a statistical analysis contrasting the actual use of LLMs in academic dishonesty with educator perceptions. It then examines the repercussions of AI-enabled content proliferation, referencing the limitation of three books self-published per day in September 2023 by Amazon due to a suspected influx of AI-generated material. The discourse extends to the potential of AI in accelerating research akin to the contributions of digital humanities and computational linguistics, highlighting its accessibility to the general public. The article further delves into the implications of AI on pedagogical approaches to research and writing, contemplating its impact on communication and critical thinking skills, while also considering its role in bridging the digital divide and socio-economic disparities. Finally, it proposes revisions to writing curricula, adapting to the transformative influence of AI in academic contexts. 

Keywords:

plagiarism academic integrity generative artificial intelligence large language models originality digital humanities copyright intellectual property rights

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