Publication ethics issues in research papers using generative artificial intelligence: a narrative review

Purpose: This paper discusses current publication ethics issues related to the use of generative artificial intelligence (AI)—defined as AI systems capable of producing original text, images, or other content—in the writing of academic papers.Current concepts: As the performance of generative AI has improved significantly, it has increasingly been used in the writing of academic papers. In some instances, generative AI has been listed as an author and has been used in various ways to modify manuscript text. Journal editors began issuing policies regarding its use. Based on a shared perspective, editorial organizations proposed several principles, stating that generative AI cannot be an author and that authors and editors must be transparent about its use. They further emphasized that human authors bear responsibility for the integrity of their work. Despite these recommendations, controversy persists, particularly regarding the specific circumstances under which generative AI may or may not be used.Discussion and conclusion: The rapid development of generative AI compels the scientific community to make new ethical judgments within the publication process, which has traditionally been shaped by human consensus. Stakeholders must continuously review and reevaluate publication ethics issues related to generative AI, including authorship, liability, and disclosure of use.