Generative AI in Scientific Publishing – Opportunities and Challenges

Bradić-Martinović, Aleksandra (2025) Generative AI in Scientific Publishing – Opportunities and Challenges. In: International Scientific Multidisciplinary Conference Artificial Intelligence (AI) for a Smarter Tomorrow, AI-SMART 2025, Belgrade, Serbia September 25-26, 2025. Association of Economists and Managers of the Balkans - UdEkoM Balkan, Belgrade, pp. 135-146. ISBN 978-86-83134-08-3

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Abstract

This paper examines how generative artificial intelligence (AI) is reshaping scientific publishing through its growing role in authoring, review-ing, 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 institution-alisation of ethics-in-practice as a foundation for trustworthy AI integration in scholarly communication.

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