Browsing by Author "Mazumdar, Kaushik"

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    Responsible use of Generative Artificial Intelligence in Research Publication: A case study of Indian research journals in Scopus
    (INFLIBNET Centre Gandhinagar, 2024-09-19) Mazumdar, Kaushik; Gogoi, Pranab; Gautam, Mon Bahadur
    The Generative Artificial Intelligence (GAI) has the ability to create content that mimics human-like writing. In the Indian academic landscape, where research output is increasingly viewed as a measure of institutional success, the temptation to utilize generative AI for expedited publication can potentially undermine the rigor and authenticity of scholarly work. As publications in academic journals carries a kind of prestige for academicians, therefore it is necessary that journals take required initiatives so that people can’t just simply write anything with GAI and publish it the journals. Journals need to have proper guidelines regarding the use of GAI in their published peer reviewed contents. This research paper aims to address the nature of guidelines adopted by the Top Indian journals indexed in Scopus regarding the use of GAI in research publications. The current study took the example of four subject disciplines and made an analysis. The study finds that 70% of the top Indian journals from the discipline of Mathematics, Business management and accounting have at least some guidelines regarding the use of GAI, while in the discipline of Medicine only 40% have it. It is observed that guidance specific for ChatGPT use and guidance for any LLMs use are the most popular parameter. The study identified the lack of standardized and structured guidelines about the use of GAI provided by the journals for the authors.