This editorial reflects on the seismic shifts brought by generative AI in academic publishing, coinciding with the journal's 30th anniversary. It explores both the promising advancements and ethical dilemmas presented by AI tools, specifically the generative applications built on Large Language Models (LLMs). AI offers opportunities to streamline editorial processes, enhance discoverability, assist with manuscript screening, basic editing, and identify peer reviewers, thereby accelerating publishing. However, the rise of AI-generated content poses significant challenges, including concerns over accuracy, originality, and misinformation. Ethical dilemmas surround authorship, ownership, and academic integrity, with AI tools explicitly not considered authors due to a lack of accountability; human authors must take full responsibility for AI-generated output. Journals are developing robust policies emphasising transparency and disclosure, requiring authors to specify the AI tool used, its purpose, and its location within the manuscript. The editorial advocates for open access as a crucial countermeasure to potential AI misuse, promoting transparency, scrutiny, and equitable knowledge dissemination to amplify ethical AI applications. Ultimately, the journal calls for responsible AI integration as an "augmented intelligence" tool, enhancing human intellect while upholding academic integrity in scholarly communication.
Simon Atkinson (2025) studied this question.