Generative Artificial Intelligence (GenAI) and writing for scholarly publication

The rapid spread of generative artificial intelligence has transformed how scholars plan, draft, and revise their work for publication. Recent work on AI-assisted academic writing shows that large language models are increasingly used across the research cycle for idea generation, structuring content, synthesising literature, and polishing language (Cheng et al., 2025; Khalifa & Albadawy, 2024). However, multiple sources (e.g., Buriak et al., 2023; Shimray & Subaveerapandiyan, 2025) caution that fluent output may mask conceptual thinness, authenticity, or unverified content. Therefore, AI use must be paired with deliberate validation against primary sources and authorial intent. Additionally, Buriak et al. (2023) and Masters (2025) state that responsibility for scholarly claims remains with human authors, including the accuracy of content, the appropriateness of interpretations, and the integrity of the publication record. Alongside these new affordances come difficult questions, such as "What counts as authorship when AI systems shape our prose?" or "How do we maintain integrity and transparency in AI-mediated writing?"