Generative AI in Scientific Publishing – Opportunities and Challenges
Generative AI in Scientific Publishing – Opportunities and Challenges

Author(s): Aleksandra Bradić-Martinović
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Generative AI; Scientific publishing; Scholarly communication; Ethical frameworks; Editorial policies
Summary/Abstract: This paper examines how generative artificial intelligence (AI) is reshaping scientific publishing through its growing role in authoring, reviewing, and editorial workflows. It maps the current landscape of generative AI adoption, highlighting how large-scale language models and image-based systems assist researchers and editors in writing, translation, visualisation, and content management. The analysis identifies both opportunities, such as efficiency, inclusivity, and innovation, and challenges, including accuracy, accountability, bias, and uneven policy implementation. Ethical implications are addressed through international and national frameworks that emphasise transparency, human oversight, and provenance verification. By synthesising recent literature and publisher policies, this paper argues for the institutionalisation of ethics-in-practice as a foundation for trustworthy AI integration in scholarly communication.

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