Scientific Writing, Peer Review, and Artificial Intelligence: Navigating a New Era

The article examines the evolving intersection of generative artificial intelligence (AI) tools and scientific publishing, emphasizing opportunities and emerging risks for research integrity. It covers challenges such as reference fabrication, bias amplification, and reviewer overreliance, while highlighting the importance of diverse datasets, transparent disclosure, and robust human oversight. Practical strategies and policy recommendations illustrate how careful stewardship can ensure that technological advances support ethical, reliable, and globally relevant scholarship. The synthesis encourages ongoing dialogue about responsible AI integration across academia.