Authors
- Orekhova Elena Ya. Dr. Sc. (Education), Professor
Annotation
The article summarizes advanced scientific views and original judgments that allowed us to consider the problems of artificial intelligence (AI) participation in education
in a broad modern context. The study uses the possibilities of the «risk – benefit» dichotomy, and explores the positive and negative context of AI in human life. Technological achievements are analyzed from these positions, so that it is possible to make the best use of AI in education and learning, as well as in the spheres that affect the value, ethical, and humanitarian aspects of human existence. Along with the ideas and concepts of prominent scholars related to the informatization of education, the paper presents the materials of the most modern innovative projects in the field of issues identified.
How to link insert
Orekhova, E. Y. (2026). ARTIFICIAL INTELLIGENCE IN EDUCATION: IS IT POSSIBLE TO NEGOTIATE WITH A SIMULACRUM? Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 1 (61), 214. https://doi.org/10.24412/2076-913X-2026-161-214-225
References
1.
1. Danielyan, N. V. (2022). Epistemological issues in studying the artificial intelligence. After postpositivism (p. 543–546). Proceedings of the III International Congress of Russian Society of History and Science Philosophy, Saratov, 08–10 September 2022. Russian Society of History and Science Philosophy. (In Russ.).
2.
2. Shevchenko, S. Yu. (2021). Broad mind and epidemiological responsibility in digital environment. Epistemology and Philosophy of Science, 58(4), 209–227. (In Russ.).
3.
3. Yastreb, N. А. (2024). Critical thinking in AI ethics. Science, technology and values in the unstable environment (p. 441–443). Proceedings of the IV Congress of the Russian Society of History and Science Philosophy, Moscow, 27–29 September 2024. Russian Society of History and Science Philosophy. (In Russ.).
4.
4. Rezaev, А. V., & Tregubova, N. D. (2021). Artificial intelligence and artificial sociality: new concepts, issues and tasks for social sciences. Monitoring of Public Opinion: Economic and Social Changes, (1), 4–19. https://doi.org/10.14515/ monitoring.2021.1.1905 (In Russ.).
5.
5. Vikulova, L. G., Serebrennikova, Е. F., & Kulagina, О. А. (2011). Semiometry of reflecting on modern society values. Linguistics and axiology. Ethnosemiometry of values (p. 196–230). Tezaurus. (In Russ.).
6.
6. Kitov, Yu. V., & Gertner, S. L. (2024). Artificial intelligence as an object of cultural and philosophical analysis. Culture and Civilization, 14(3А), 145–158. (In Russ.).
7.
7. Sysoev, P. V., & Filatov, Е. М. (2023). ChatGPT in students’ research: to ban of employ? Tambov University Review. Series: Humanities, 28(2), 276–301. https://doi.org/10.20310/1810-0201- 2023-28-2-276-30 (In Russ.).
8.
8. Tareva, Е. G. (2023). Intercultural sensitivity in digital communication as an object for studies. In S. V. Titova, P. V. Sysoev (Eds.). Foreign language teacher’s competencies in terms of digital education (p. 189–207). E’ditus. (In Russ.).
9.
9. Robert, I. V. (2024). Artificial intelligence in education: ways of application. In N. O. Omarova, M. P. Farhadov, Yu. V. Taratukhina (Comp.). Modern education in multicultural world: tendencies and perspectives (p. 25–36). Proceedings of the International Conference, Makhachkala, 03–08 October 2023. «ALEF Publishing House». https://doi.org/10.33580/9785002124411_25 (In Russ.).
10.
10. Suleimanova, O. A. (2020). Towards synergetic combination of traditional and innovative digital teaching and research practices. Training, Language and Culture, 4(4), 39–50. https://doi.org/10.22363/2521-442X-2020-4-4-39-50
11.
11. Suleimanova, O. A., Guseinova, I. A., & Vodyanitskaya, A. A. (2020). The learning and educational potential of digital tools in humanities and social science. Society. Integration. Education, 4, 657–669. Proceedings of the International Scientific Conference, Rēzekne, 22–23 May, 2020. Rēzeknes Tehnoloģiju akadēmija. https://doi.org/10.17770/sie2020vol4.4851
12.
12. Tareva, Е. G. (2018). Digital epoch and teaching. MCU Journal of Philosophy, 3(27), 85–90. https://elibrary.ru/item.asp?id=35617776 (In Russ.).
13.
13. Akata, Z., Balliet, D., De Rijke, M., Dignum, F., Dignum, V., Eiben, G., & et al. (2020). A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence. Computer, 53, 18–28.
https://doi.org/10.1109/MC.2020.2996587
14.
14. Divekar, R. R., Drozdal, J., Chabot, S., Zhou, Y., Su, H., Chen, Y., & et al. (2022). Foreign language acquisition via artificial intelligence and extended reality: design and evaluation. Comput. Assist. Lang. Learn, 35, 2332–2360. https://doi.org/10.1080/09588221.2021.1879162
15.
15. Terra autonomia: predicting the future prospects of foreign language training in higher school institutions. (2022). Yazy’ki Natodov Mira.
16.
16. A big change? How do Russian teachers see the education of the future. (2024). Research report. Sber Universitet. (2025, December 2). https://cloud.sberbank-school.ru/s/R6kYsb0yfzdUmLu?yqrid=84c68e22 (In Russ.).
17.
17. Dokukina, К. (2024). «Smart, cunning, free»: how AI impacts education? EdDesign Mag. (2025, December 2). https://eddesignmag.com/kak-iskusstvennyj-intellekt-vliyaet-na-obrazovanie/ (In Russ.).
18.
18. Huang, J., & Tan, M. (2023). The role of Chat GPT in scientific communication: writing better scientific review articles. Am. J. Cancer Res, 13, 1148–1154.
19.
19. Artificial intelligence technologies in education. Guidances for policymakers. (2025, 2 December). https://aspnet-unesco.ru/prod/files/doc/event/88de338134879c0875a8ed912a7b-5b7c.pdf
20.
20. Asilomar AI Principles. (2017). Asilomar conference. (2025, December 3). https://futureoflife.org/open-letter/ai-principles/
21.
21. Kurzweil, R. (2025). The singularity is near: when humans transcend biology. Viking.
22.
22. Statement on AI Risk. AI experts and public figures express their concern about AI risk (2025, December 3). https://www.safe.ai/work/statement-on-ai-risk#signatories
23.
23. Everything Will Change: A Conversation on Ethical AI with Dr. Sasha Luccioni (2023, September 13). https://blogs.opentext.com/everything-will-change-a-conversationon-ethical-ai-with-dr-sasha-luccioni/
24.
24. Baudrillard, J. (1995). Le crime parfait. Galilée.
25.
25. Penrose, R. (1989). The emperor’s new mind concerning computers, minds, and the laws of physics. Oxford University Press.
26.
26. Yastreb, N. А. (2012). Artificial intelligence as a third-rate simulacrum. Philosophical issues of IT and cyberspace, (1). (2025, 5 December). https://cyberleninka.ru/article/n/iskusstvennyy-intellekt-kak-simulyakr-tretiego-poryadka (In Russ.).
27.
27. Passov, Ye. I. Simulacra-terms as a pillar for education. (2015). Higher school teacher of the XXI century, (1–1), 18–33. (In Russ.).

