Artificial intelligence and ethics in education: A literature review

Year 2025, Volume: 5 Issue: 1, 117 - 125, 25.06.2025

Nurgün Varol

Abstract

This study is a qualitative documentary review that aims to examine the ethical implications of artificial intelligence (AI) technologies in the field of education. AI applications in education are becoming increasingly widespread and have the potential to transform teaching processes. However, this transformation process also brings with it a number of ethical issues, such as data privacy, algorithmic bias, changes in teacher-student relationships, and the digital divide. The theoretical framework of the study was developed based on the ethical principles developed by Floridi and colleagues, as well as policy documents from international organizations such as UNICEF, OECD, and UNESCO. The thematic analysis revealed that a multi-layered ethical approach must be adopted to ensure that AI is used in education in a fair, transparent, and human-centered manner. In conclusion, it is emphasized that the integration of AI in education is not only a technical issue but also an ethical, pedagogical, and managerial one; in this context, the necessity of inclusive policies shaped with the participation of all stakeholders is highlighted.

Keywords

ethic, data privacy, transparency, artificial intelligence, education management, algorithmic bias, digital inequality

Eğitimde yapay zekâ ve etik: Bir alanyazın taraması

Abstract

Bu çalışma, yapay zekâ (YZ) teknolojilerinin eğitim alanındaki etik yansımalarını incelemeyi amaçlayan nitel bir belgesel taramadır. Eğitimde YZ uygulamaları giderek yaygınlaşmakta ve öğretim süreçlerini dönüştürme potansiyeli taşımaktadır. Ancak bu dönüşüm süreci, veri gizliliği, algoritmik önyargı, öğretmen-öğrenci ilişkilerinin değişimi ve dijital uçurum gibi bir dizi etik sorunu da beraberinde getirmektedir. Çalışmanın kuramsal çerçevesi, Floridi ve arkadaşlarının geliştirdiği etik ilkelerle birlikte, UNICEF, OECD ve UNESCO gibi uluslararası kuruluşların politika belgeleri temel alınarak oluşturulmuştur. Yapılan tematik analiz sonucunda, YZ’nin eğitimde adil, şeffaf ve insan merkezli bir biçimde kullanılabilmesi için çok katmanlı bir etik yaklaşımın benimsenmesi gerektiği ortaya konulmuştur. Sonuç olarak, eğitimde YZ entegrasyonunun yalnızca teknik değil, aynı zamanda etik, pedagojik ve yönetsel bir mesele olduğu vurgulanmakta; bu bağlamda tüm paydaşların katılımıyla şekillenen kapsayıcı politikaların gerekliliği ortaya konulmaktadır.

Keywords

yapay zeka, veri gizliliği, eğitim yönetimi, etik, algoritmik önyargı, dijital eşitsizlik

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