The AI-Powered Revolution in Academic Publishing: A Holistic Toolchain for Enhanced Efficiency and Quality

Abstract

The integration of artificial intelligence and associated digital technologies is causing a significant shift in the academic publication landscape. This paper addresses the changing issues faced by authors, editors, reviewers, and publishers by giving a thorough summary of the AI-powered toolchain spanning the whole scholarly publishing lifecycle. We investigate a broad range of current and emerging artificial intelligence tools, including deep learning and machine learning models, along with their specific advantages for each type of stakeholder. These tools enhance manuscript quality for writers by providing writing support, grammar and style checking, citation management, and plagiarism detection. AI-driven solutions for layout analysis, quality control, reviewer recommendations, and manuscript screening help editors and reviewers. AI enables publishers to automate processes, ensure ethical compliance, and enhance the distribution of their content. We also explore the possibilities and approaches for creating customised artificial intelligence models tailored to specific publishing requirements, highlighting how these individualised solutions can maximise quality and efficiency in scholarly communication. Synthesised from a broad spectrum of research, this comprehensive view emphasises the transformative power of artificial intelligence in shaping a more transparent, efficient, and high-quality future for academic publishing.

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