Researchers are exploring a new strategy to influence the peer review process of their research papers: embedding hidden prompts designed to encourage AI tools to provide positive feedback. According to a report by Nikkei Asia, an examination of English-language preprint papers on the arXiv website revealed 17 papers containing such prompts. The authors of these papers are affiliated with 14 academic institutions across eight countries, including Japan’s Waseda University, South Korea’s KAIST, and U.S. institutions such as Columbia University and the University of Washington. These hidden prompts are typically brief, ranging from one to three sentences, and are concealed using white text or extremely small fonts. They instruct AI reviewers to give favorable reviews or to highlight the paper's "impactful contributions, methodological rigor, and exceptional novelty." One professor from Waseda University, contacted by Nikkei Asia, defended the use of these prompts, noting that many academic conferences prohibit the use of AI for reviewing papers. The professor argued that the prompts serve as a safeguard against "lazy reviewers" who might rely on AI to generate feedback without thoroughly engaging with the content. This emerging practice underscores the growing tension between the rapid advancement of AI technologies and the traditional standards of academic peer review. As AI tools become more integrated into the scholarly evaluation process, concerns about their misuse and the integrity of research are likely to intensify.