This study explores the role and challenges of artificial intelligence assistants in academic writing, focusing specifically on generative AI systems that support scholarly publication processes. The study addresses the growing need for transparent guidelines governing AI use in academic contexts while analyzing both the benefits and risks associated with these technologies. Six primary applications of AI assistants in academic writing are systematically examined: reference management, editing, translation, submission optimization, data analysis, and literature review. The study reveals that, although AI assistants can significantly enhance the efficiency and quality in academic writing processes, they also introduce substantial challenges. It is concluded that effective governance requires comprehensive disclosure obligations covering all aspects of AI use, not merely ethical compliance statements. Standardized disclosure rules and robust institutional frameworks are essential to ensure the responsible integration of AI assistants in academic writing.