This study investigates the incorporation of generative AI in academic writing, analyzing AI usage statements from articles published in top-ranked, open-access Elsevier journals across 27 Scopus categories. By systematically collecting and examining these statements, the study explores authors' purposes for using AI, variations across disciplines, and patterns among international and non-native research teams. Employing content analysis, text mining, and quantitative methods, the research identifies common AI tasks, tools, and thematic elements. Results aim to inform academic policy on AI disclosure, highlighting ethical and practical implications in academic publishing.
