The rapid advancement of artificial intelligence (AI) has significantly transformed the field of academic writing by providing tools for editing, refining, and optimizing scientific texts. This study explores the opportunities and challenges associated with AI-assisted scientific text editing, focusing on improvements in linguistic accuracy, structural coherence, and stylistic consistency. AI tools contribute to plagiarism detection, terminology standardization, and enhanced logical flow, thereby supporting both native and non-native English-speaking researchers. The analysis emphasizes that AI functions as a supportive instrument, while authors retain responsibility for intellectual content, originality, and contextual interpretation. Ethical considerations, including the risk of over-reliance on automation and potential homogenization of writing styles, are discussed. The study concludes that responsible and informed integration of AI can enhance the quality, efficiency, and accessibility of scientific publications while maintaining academic integrity.

Artificial intelligence; Scientific writing; Text editing; Academic optimization; Plagiarism prevention; Natural language processing; Human-in-the-loop

Babenko, V., & Ivanov, A. (2020). Artificial intelligence in academic writing: Applications and limitations. Moscow: Nauka Publishing.

Chen, X., Zhang, Y., & Li, H. (2022). AI-assisted tools for scientific manuscript optimization: A review. 14(3), 145–162.

Kuznetsova, E. (2019). Natural language processing technologies for scientific editing. Saint Petersburg: Piter.

Li, J., & Wang, S. (2021). Improving academic writing with artificial intelligence: Opportunities and ethical challenges. 18(2), 75–90.

Smirnov, P., & Petrov, D. (2020). AI-based plagiarism detection in scientific publications. 22(1), 32–48.