UDC 004.89:378.147:17

Bocharova T.A.¹ (Khabarovsk, Russian Federation) – kitaal@yandex.ru; Bocharov A.V.² (St. Petersburg, Russian Federation) – artm.bocharov.06@mail.ru; Dovgal I.D.¹ (Khabarovsk, Russian Federation) – 2024102082@togudv.ru

¹Pacific State University,

²Saint Petersburg State Electrotechnical University «LETI» named after V.I. Ulyanov (Lenin)

Abstract. The rapid digitalization of the educational process and the widespread introduction of AI technologies into the academic environment, in addition to the undoubted advantages, including a multiple expansion of didactic and methodological capabilities, optimization of the solution of a number of educational tasks, automation of routine operations, poses a number of questions to the pedagogical community, one of the main ones being the ethical side of using generative models in scientific and educational work. The key task of the modern academic environment is to create a system of norms that will effectively use the potential of AI technologies, while maintaining and developing the most important competencies of students. The priority areas for the formation of ethical principles are ensuring a balance between innovative technologies and traditional values ​​​​of the academic environment, maintaining the principles of academic honesty when using AI tools, developing critical thinking of students in the context of digitalization of education. The article is devoted to the study of the ethical aspects of using generative models of artificial intelligence in writing student papers. The study is based on the analysis of the results of a survey of first-year students, which showed that a significant portion of students perceive the use of generative AI as an acceptable practice, while there is an insufficient understanding of the ethical standards and risks of this approach: 38% of respondents do not consider the use of generated content to be plagiarism, and 58% trust information created by neural networks without additional verification. The paper attempts to formulate the main ethical problems, the list of which is not final: blurring the boundaries of academic honesty, issues of authorship and co-authorship, responsibility for the reliability of generated content, the risk of increasing digital inequality between students. Particular attention is paid to the problem of degradation of cognitive skills with excessive use of AI tools. The importance of developing clear guidelines and forming a culture of responsible use of AI among students is emphasized.

Keywords: generative models, artificial intelligence, academic honesty, cognitive abilities, digital divide, ethical aspects of AI.

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For citation: Bocharova T.A., Bocharov A.V., Dovgal I.D. Generative AI in student writing: Ethical aspects. CITISE, 2025, no. 3, pp. 151-165.