Artificial Intelligence and Ethics in Education

Abstract

Artificial Intelligence (AI), also referred to as machine intelligence, is a technology that enables the machines to simulate humans’ actions and behaviours. This indicates AI has the capacity to display characteristics of human such as planning, reasoning, creativity and learning. AI technologies that are effectively utilized in multiple sectors proceed to be used in the education sector. The aim of this study is to reveal how to act ethically in utilizing artificial intelligence in education by comprehensively reviewing the existing literature. This study was carried out through document analysis which is one of the qualitative research methods. Document analysis involves examining written materials that contain information about the phenomenon being studied. AI technology, with its high efficiency and versatility, has contributed to the advancement of education. There are more concerns about AI’s intrusion into students’ privacy and AI bias and discrimination particularly against minorities. AI applications can violate the privacy of the users’ data while gathering it. AI can also cause ethical problems in consequence of generating information which is unaccredited, whose accuracy has not been verified, or which is inaccurate. Some significant suggestions for the usage of Generative Artificial Intelligence (GAI) systems can be listed as follows: (1) Before starting to use the GAI systems, it is essential to obtain information about how the systems work and their potential risks, (2) It should be known that the responsibility for ethical violations that may arise from the usage of GAI lies with the users who utilize the regarding systems and incorporate them into their works.

Keywords

• Artificial Intelligence
• generative artificial ıntelligence
• machine ıntelligence
• ethics.

Eğitimde Yapay Zekâ ve Etik

Abstract

Makine zekâsı da denilen yapay zekâ (YZ), makinelerin insan eylem ve davranışlarını canlandırmasına yardımcı olan bir teknolojidir. Bu, YZ’nin planlama, muhakeme, yaratıcılık ve öğrenme gibi insana özgü yetenekleri sergileme kabiliyeti olduğu anlamına geliyor. Birçok sektörde başarılı bir şekilde kullanılan yapay zekâ teknolojileri eğitim sektöründe de kullanılmaya başlanmıştır. Bu çalışmanın amacı, mevcut literatürü kapsamlı bir şekilde tarayıp eğitimde yapay YZ’den yararlanmada etik olarak nasıl davranılması gerektiğini ortaya çıkartmaktır. Bu çalışma, nitel araştırma yöntemlerinden doküman incelemesi kullanılarak yapılmıştır. Doküman incelemesi, araştırılması hedeflenen olgu hakkında bilgi içeren yazılı materyallerin analizini kapsar. Yüksek verimliliği ve çok yönlülüğüyle yapay zekâ teknolojisi, eğitimin ilerlemesine yardımcı olmuştur. YZ’nin öğrencilerin mahremiyetine müdahalesi ve özellikle azınlıklara karşı YZ önyargısı ve ayrımcılığı konusunda daha fazla endişe var. Yapay zekâ uygulamaları, kullanıcıların verilerini toplarken bu verilerin gizliliğini ihlal edebiliyor. Yapay zekâ, kaynağı belirsiz, doğruluğu kontrol edilmemiş ya da hatalı bilgi üretebilmesi nedeniyle de etik sıkıntılara yol açabiliyor. Üretken Yapay Zekâ (ÜYZ) sistemlerinin kullanımına yönelik bazı önemli öneriler şöyle sıralanabilir: (1) ÜYZ sistemlerini kullanmaya başlamadan önce mutlaka sistemlerin nasıl çalıştığına ve potansiyel risklerine dair bilgi edinilmesi, (2) ÜYZ kullanımından doğabilecek etik ihlallere ilişkin sorumluluğun ilgili sistemleri kullanan ve bunları eserlere aktaranlara (kullanıcılara) ait olduğunun bilinmesi gerekir.

Keywords

• Yapay zekâ
• üretken yapay zekâ
• makine zekâsı
• etik.

References

1. Ajagun-Ogunleye, O. (2025). Guardians of integrity: Navigating the AI frontier in higher education. In P. A. Okebukola (Ed.), Handbook on artificial intelligence and quality higher education: AI and ethics, academic integrity and the future of quality assurance in higher education (pp. 6–11). Sterling Publishers.
2. Anita, U. (2025). Emerging AI technologies and their implications for academic integrity. In P. A. Okebukola (Ed.), Handbook on artificial intelligence and quality higher education: AI and ethics, academic integrity and the future of quality assurance in higher education (pp. 12–18). Sterling Publishers.
3. Ateb, G. A. (2024). Artificial intelligence applications (AIAs) for effective educational management and administration: An evaluation of awareness and utilization in Federal College of Education Obudu, Cross River State, Nigeria. Journal of Association of Educational Management and Policy Practitioners, 6(2), 62–70.
4. Bala, T. (2025). The rise of generative AI chatbots: Threat to academic integrity. In P. A. Okebukola (Ed.), Handbook on artificial intelligence and quality higher education: AI and ethics, academic integrity and the future of quality assurance in higher education (pp. 1–5). Sterling Publishers.
5. Bakırcıoğlu, R. ( 2012). Etik. İçinde Eğitim ve psikoloji sözlük. Anı Yayıncılık.
6. Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Diaz, V. ve Pomerantz, J. (2018). NMC horizon report: 2018 higher education edition. EDUCAUSE. https://library.educause.edu/~/media/files/library/2018/8/2018horizonreport.pdf
7. Bensason, İ., Dericioğlu-Egemen, A., Kaspi, R., Küzeci, E., Sezgin, Ö. ve Uyan, B. (2024). Yapay zekâ etik ilkeleri ve hukuki düzenlemeler raporu (Türkiye Yapay Zekâ İnisiyatifi). https://turkiye.ai/kaynaklar/sunumlar-raporlar/ Bu, Q. (2022). Ethical risks in integrating artificial intelligence into education and potential countermeasures. Science Insights, 41(1), 561–566.
8. Chen, I., Chen, P. ve Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

9. Gartner, S. ve Krašna, M. (2023). Artificial intelligence in education – ethical framework. 12th Mediterranean Conference on Embedded Computing (MECO). https://doi.org/10.1109/MECO58584.2023.10155012
10. Ghotbi, N. (2024). Ethics of artificial intelligence in academic research and education. In S. E. Eaton (Ed.), Handbook of academic integrity. Springer. https://doi.org/10.1007/978-981-15-1036-7
11. Glossary (t.y). Ethical AI glossary. https://c3.ai/glossary/artificial-intelligence/ethical-ai/ Erişim Tarihi: 16. 11. 2025.
12. Gonzalez, C. (2023). Building human-like artificial agents: A general cognitive algorithm for emulating human decision-making in dynamic environments. Perspectives on Psychological Science, 19(5), 860–873. https://doi.org/10.1177/17456916231196766
13. Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I. ve Koedinger, K. R. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00239-0
14. Hwang, G. J., Xie, H., Wah, B. W. ve Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
15. İşler, B. ve Kılıç, M. (2021). Eğitimde yapay zekâ kullanımı ve gelişimi. Yeni Medya Elektronik Dergisi, 5(1), 1–11.
16. Jobin, A., Ienca, M. ve Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
17. Karagkouni, E. ve Sotiropoulou, P. (2023). Artificial intelligence in education: Ethical considerations. https://doi.org/10.48550/arXiv.2306.08639
18. Kayıhan, B. (2024). Yapay zekâ ve etik sorunlar: İnsanlık, teknolojinin kontrolünü kaybediyor mu? https://bilimgenc.tubitak.gov.tr/makale/yapay-zeka-ve-etik-sorunlar-insanlik-teknolojinin-kontrolunu-kaybediyor-mu
19. Kurni, M., Mohammed, M. S. ve Srinivasa, K. G. (2023). Ethics of artificial intelligence in education. In A beginner's guide to introduce artificial intelligence in teaching and learning. Springer. https://doi.org/10.1007/978-3-031-20747-0
20. Laine, J., Minkkinen, M. ve Mäntymäki, M. (2025). Understanding the ethics of generative AI: Established and new ethical principles. Communications of the Association for Information Systems, 56, 1–25. https://doi.org/10.17705/1CAIS.05601
21. Leong, W. Y. ve Zhang, J. B. (2025). Ethical design of AI for education and learning systems. https://doi.org/10.1007/978-3-031-20747-0
22. Moquin, S. (2024). Ethical consideration for AI in education. https://www.enrollify.org/blog/ethical-considerations-for-ai-use-in-education
23. Nguyen, A., Ngo, H. N., Hong, Y., Dang, B. ve Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28, 4221–4241. https://doi.org/10.1007/s10639-023-11716-9
24. Papakostas, C., Troussas, C. ve Sgouropoulou, C. (2024). Introduction and overview of AI-enhanced augmented reality in education. In Special topics in artificial intelligence and augmented reality (pp. 1-11). Springer.
25. Papakostas, C. (2025). Artificial intelligence in religious education: Ethical, pedagogical, and theological perspectives. Religions, 16(5), 563. https://doi.org/10.3390/rel16050563
26. Roshanaei, M., Olivares, H. ve Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123–143. https://doi.org/10.4236/jilsa.2023.154007
27. Sanni, O. K. (2025). AI ethics in education: Striking a balance between innovation and integrity in Nigeria. In P. A. Okebukola (Ed.), Handbook on artificial intelligence and quality higher education: AI and ethics, academic integrity and the future of quality assurance in higher education (pp. 732–739). Sterling Publishers.
28. Solomon, A. (2025). Safeguarding academic integrity in the age of artificial intelligence (AI): Navigating challenges and implementing solutions. In P. A. Okebukola (Ed.), Handbook on artificial intelligence and quality higher education: AI and ethics, academic integrity and the future of quality assurance in higher education (pp. 19–26). Sterling Publishers.
29. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://www.cs.mcgill.ca/~dprecup/courses/AI/Materials/turing1950.pdf
30. Türk Dil Kurumu. (1998). Etik. İçinde Türkçe sözlük (8. baskı, cilt, 1. s. 739).
31. Urbina, J. T., Vu, P. D. ve Nguyen, M. V. (2025). Disability ethics and education in the age of artificial intelligence: Identifying ability bias in ChatGPT and Gemini. Archives of Physical Medicine and Rehabilitation, 106(1), 14–19. https://doi.org/10.1016/j.apmr.2024.06.004
32. Wirtz, B. W., Weyerer, J. C. ve Geyer, C. (2018). Artificial intelligence and the public sector—Applications and challenges. International Journal of Public Administration, 41(7), 513–529. https://doi.org/10.1080/01900692.2017.1411557
33. Yükseköğretim Kurulu. (2024). Yükseköğretim kurumları bilimsel araştırma ve yayın faaliyetlerinde üretken yapay zekâ kullanımına dair etik rehber. https://sbe.ahievran.edu.tr/uploads/6743/Yuksekogretim_Kurumlari_Bilimsel_Arastirma_ve_Yayin_Faaliyetlerinde_Uretken_Yapay_Zeka_Kullanimina_Dair_Etik_Rehber_Ek_EK-1.pdf
34. Zhuo, T. Y., Huang, Y., Chen, C. ve Xing, Z. (2023, May 29). Red teaming ChatGPT via jailbreaking: Bias, robustness, reliability and toxicity. http://arxiv.org/pdf/2301.12867