Alnaimat Fatima, AlSamhori Abdel Rahman Feras, Hamdan Omar, Seiil Birzhan, Qumar Ainur B
Division of Rheumatology, Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan.
School of Medicine, University of Jordan, Amman, Jordan.
J Korean Med Sci. 2025 Jun 2;40(21):e170. doi: 10.3346/jkms.2025.40.e170.
Artificial intelligence (AI) has shown its ability to transform academic writing and publishing. It offers significant benefits, including enhancing efficiency, consistency, and integrity, However, these advancements are accompanied by ethical concerns (particularly around authorship, originality, and transparency) and the need for human oversight in peer review and editorial processes. In this study we explore AI for ethics checks in journal submissions. Specific AI platforms-such as YesChat for bias detection, Turnitin's iThenticate for plagiarism, Proofig for image integrity, and GPTZero for AI-generated content-can identify ethical breaches through tailored prompts and queries. Additionally, AI is increasingly used to detect missing or vague ethics statements, conflicts of interest, and citation manipulation by analyzing structured text and databases. AI-enhanced tools like Elsevier's Editorial Manager and Enago Read assist in ensuring compliance with journal-specific ethical guidelines and streamline peer review. Moreover, emerging algorithms, such as CIDRE, have shown promise in identifying abnormal citation behaviors. As AI accuracy improves, these platforms are expected to be integrated directly into submission systems, enhancing research integrity, transparency, and accountability.
人工智能（AI）已展现出其改变学术写作和出版的能力。它带来了诸多显著益处，包括提高效率、增强一致性和完整性。然而，这些进步也伴随着伦理问题（尤其是围绕作者身份、原创性和透明度），以及在同行评审和编辑过程中进行人工监督的必要性。在本研究中，我们探索将人工智能用于期刊投稿的伦理审查。特定的人工智能平台，如用于检测偏见的YesChat、用于检测抄袭的Turnitin的iThenticate、用于图像完整性检查的Proofig以及用于检测人工智能生成内容的GPTZero，可以通过定制的提示和查询来识别伦理违规行为。此外，人工智能越来越多地用于通过分析结构化文本和数据库来检测缺失或模糊的伦理声明以及利益冲突和引文操纵。像爱思唯尔的编辑管理器和英论阁阅读这样的人工智能增强工具有助于确保符合特定期刊的伦理准则，并简化同行评审流程。此外，诸如CIDRE等新兴算法在识别异常引文行为方面已展现出潜力。随着人工智能准确性的提高，这些平台有望直接集成到投稿系统中，增强研究的完整性、透明度和问责制。
