TY - JOUR T1 - Yapay Zekânın Akademik Yayın Hakemliğindeki Rolü Üzerine Epistemik ve Etik Bir Sorgulama TT - An Epistemic and Ethical Inquiry into the Role of Artificial Intelligence in Academic Peer Review AU - Gözütok, Tarık Tuna PY - 2025 DA - September Y2 - 2025 DO - 10.20981/kaygi.1704390 JF - Kaygı. Bursa Uludağ Üniversitesi Fen-Edebiyat Fakültesi Felsefe Dergisi JO - Kaygı PB - Bursa Uludağ University WT - DergiPark SN - 2645-8950 SP - 761 EP - 783 VL - 24 IS - 2 LA - tr AB - Teknolojik gelişimi gün geçtikçe artan yapay zekâ araçlarının kullanım alanları da benzer bir şekilde artmaktadır. Bu bağlamda eğitim-öğretim faaliyetleri başta olmak üzere üniversitelerde ve akademik çalışmalarda yapay zekâ hem bir araştırma nesne olarak hem de araştırmalara yardımcı olan bir araç olarak gündeme gelmeye başlamıştır. Akademik yayınların üretilmesi ve değerlendirilmesi süreçlerinde yapay zekânın rolü henüz netleşmemiştir. Bu çalışmada akademik yayınlarda yapay zekâ araçlarının hakemlik süreçlerine etkileri genel hatlarıyla ele alınmaktadır. Hakemlik, bilimsel bilginin güvenilirliğini sağlayan, insan merkezli değerlendirme süreçlerine dayanan tarihsel bir denetim mekanizması olarak ortaya çıkmıştır. Ancak son yıllarda yapay zekâ destekli uygulamaların bu kurumsallaşmış yapının işlevsel, etik ve epistemik boyutlarında dönüşümlere yol açtığı gözlemlenmiştir. Bu dönüşüm, bilimsel değerlendirmenin öznesi, otoritesi ve meşruiyeti konusunda temel soruları da beraberinde getirmiştir. Makale, hakemlik kurumunun tarihsel gelişimini ve epistemik otorite kavramı ile ilişkisini irdelemekte; yapay zekâ sistemlerinin hakemlik sürecinde üstlenebileceği teknik rolleri ve potansiyel sınırlılıklarını tartışmaktadır. Yapay zekâ araçlarının hakem önerme, dilsel iyileştirme, biçimsel tutarlılık denetimi ve rapor özetleme gibi görevlerde süreç verimliliğini artırabileceği; ancak bağlamsal sezgi, etik muhakeme ve yaratıcı değerlendirme gibi niteliklerde insan hakemlerin yerini tutamayacağı vurgulanmıştır. Ayrıca yapay zekânın karar alma mekanizmalarına dâhil edilmesinin, değerlendirme süreçlerinde şeffaflık ve hesap verebilirlik ilkelerini zayıflatabileceği ifade edilmiştir. Yapay zekânın bilimsel değerlendirme süreçlerine katkı sağlayabilmesi, onun değerlendirme sürecinin merkezine değil, çevresine yerleştirilmesi ile mümkün olacaktır. Nihai kararlar ve epistemik otorite, hâlâ insan hakemliğinin sorumluluğunda olmalıdır. Bu bağlamda, yapay zekânın sunduğu olanakların, bilimsel bütünlüğü gözeten, etik ve denetimli bir çerçevede değerlendirilmesi gerektiği sonucuna varılmıştır. KW - Yapay Zekâ KW - Akademik hakemlik KW - Epistemik otorite KW - Bilimsel etik N2 - With the rapid advancement of artificial intelligence (AI) technologies, their fields of application have similarly expanded. In this context, AI has increasingly emerged in universities and academic research not only as a subject of investigation but also as a tool that supports research processes. However, the role of AI in the production and evaluation of academic publications remains ambiguous. This paper provides a general overview of the potential impacts of AI tools on the peer review process in academic publishing. Peer review has historically functioned as a human-centered mechanism of scholarly evaluation, ensuring the reliability of scientific knowledge. Yet, in recent years, AI-supported applications have begun to transform the functional, ethical, and epistemic dimensions of this institutionalized structure. This transformation has raised fundamental questions regarding the subject, authority, and legitimacy of scientific evaluation. This study examines the historical development of the peer review institution and its connection to the concept of epistemic authority. It also discusses the technical roles that AI systems could assume within the peer review process and highlights their potential limitations. While AI tools may enhance procedural efficiency in tasks such as reviewer recommendation, linguistic refinement, formal consistency checks, and summarization of review reports, they are not capable of replacing human reviewers in areas requiring contextual intuition, ethical judgment, and creative evaluation. Moreover, integration of AI into decision-making mechanisms may undermine the principles of transparency and accountability within assessment. The meaningful contribution of artificial intelligence to scientific evaluation processes can only be realized by positioning it at the periphery rather than at the core of such processes. Final decisions and the exercise of epistemic authority ought to remain the responsibility of human reviewers. In this context, it is concluded that the opportunities offered by artificial intelligence should be assessed within an ethical and regulated framework that ensures the scientific integrity. CR - BaHammam, A. (2025). Peer Review in the Artificial Intelligence Era: A Call for Developing Responsible Integration Guidelines. Nature and Science of Sleep, Volume 17, 159-164. https://doi.org/10.2147/NSS.S513872 CR - Baldwin, M. (2015). Credibility, Peer Review, and Nature, 1945–1990. Notes and Records: The Royal Society Journal of the History of Science, 69(3), 337-352. https://doi.org/10.1098/rsnr.2015.0029 CR - Barros, A., Prasad, A., & Śliwa, M. (2023). 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