Ethical Use of Artificial Intelligence (AI) in Scholarly Writing

The advancement of generative artificial intelligence has sparked widespread discussion regarding its ethical implications in scholarly writing. While AI offers remarkable capabilities, such as assisting with research, drafting, and editing, it also raises concerns related to plagiarism, authorship, accuracy, transparency, and privacy. This review explores the ethical considerations surrounding AI use in academia, examining policies implemented by universities, publishers, and professional organizations. The paper outlines a structured approach to integrating AI responsibly in scholarly work, emphasizing five key stages: acceptance, seeking guidance, verifying accuracy, optimizing prompt engineering, and implementing ethical practices. Additionally, the review discusses recent guidelines from organizations such as the American Psychological Association and the International Committee of Medical Journal Editors.