Scholarly Discourse on GenAI’s Impact on Academic Publishing

Abstract

This multidisciplinary and multi-perspective review, based on more than 50 editorials and studies published in the last two years, explores the transformative impact of Generative Artificial Intelligence (GenAI) on academic publishing. While GenAI has streamlined tasks such as summarizing literature and drafting manuscripts, it has also introduced significant ethical and practical challenges. Key concerns include authorship, where GenAI falls short of meeting intellectual or accountability criteria, as well as the increasing threat of plagiarism, originality issues, and the spread of misinformation. The review also highlights biases embedded in GenAI generated content and the implications for academic fairness and inclusivity. Additionally, it addresses transparency and accountability challenges in AI use within academic environments. Through a synthesis of these diverse perspectives and presentation of a model that posits an ecosystem that governs AI policy and publications, this review advocates for comprehensive guidelines and emphasizes the critical need for human oversight to ensure responsible AI use, balancing its potential efficiencies with the integrity and rigor of academic publishing.

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