AI-Enhanced Scholarly Communication: Transforming Peer Review, Knowledge Dissemination, and Academic Publishing Workflows in the Digital Era

Abstract

The use of Artificial Intelligence (AI) in academic communication is changing the conventional methods of peer reviews, knowledge diffusion, and the publishing process in academic activities. This paper will discuss how AI-based tools are changing the speed, quality of scholarly outputs, and its accessibility whilst increasing ethical and equity issues. Based on the qualitative research framework, the paper will examine scholarly insights into the opportunities and challenges of AI to using AI in publishing. Examples of the major areas of impact include the transformation of peer review, in the form of automated quality assurance and natural language processing, improvement of knowledge distribution via smart indexing and recommendations, and streamlining of the publishing process with AI-enhanced editing and formatting. Its conclusions point to the positive values of efficiency, transparency, and greater accessibility on the one hand, and to the potential threats of algorithmic bias, transparency, and loss of human judgment on the other. In conclusion, the analysis arrives at the conclusions that hybrid human-AI systems, where transparency and ethical supervision play the key role, are the most sustainable direction. Recommendations are also placed on researchers, publishers, and policymakers so as to promote responsible and inclusive AI-enhanced scholarly communication.

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