Abstract
The rapid advancement of Artificial Intelligence (AI) is transforming academic publishing and scholarly communication by redefining how research is created, evaluated, and disseminated. AI-driven tools are increasingly employed for literature review, manuscript preparation, language editing, plagiarism detection, peer review support, and citation management, thereby enhancing research efficiency and visibility. However, the growing integration of AI also raises critical concerns related to academic integrity, ethical governance, inclusivity, and long-term sustainability. The present study adopts a secondary data–based descriptive and analytical approach to examine the role of AI in academic publishing with a focus on ethical, inclusive, and sustainable scholarly communication. Drawing on peer-reviewed literature, policy documents, and reports from international organizations, the study analyses ethical challenges such as authorship, transparency, and algorithmic bias, while also assessing the inclusive potential and accessibility issues associated with AI adoption. Further, the study aligns AI-driven academic publishing practices with selected United Nations Sustainable Development Goals, including quality education, innovation, reduced inequalities, strong institutions, and global partnerships. Based on the analysis, a conceptual framework is proposed to explain how ethical governance and inclusive practices mediate the relationship between AI adoption and sustainable scholarly outcomes. The study concludes that while AI offers significant opportunities to strengthen academic publishing, its positive impact depends on responsible use, human oversight, and alignment with sustainability principles.