When AI reviews your work: author-centered reflections on LLMs in peer review

he integration of large language models (LLMs), such as Chat Generative Pre-trained Transformer (ChatGPT) and Gemini, into peer review has recently emerged as a critical and rapidly evolving issue, raising serious concerns. 1,2LLMs can be used in various ways during the review process, including language refinement, drafting initial feedback, and even generating full review reports from scratch, yet the extent of their involvement remains unclear. 2,3Although journals, editors, and reviewers have been the focus of most previous discussions about the use of LLMs in peer review, this commentary shifts attention to authors-the individuals whose unpublished work is being evaluated.Although the core concerns may be shared, authors might experience them from a distinct perspective, shaped by their limited control over the review process and their reliance on it for a fair, expert, and confidential evaluation of their work (Figure 1 and Table 1).