Ethical aspects of implementing artificial intelligence technologies in a classical university: analysis of student audience attitude

The article describes the ethical problems caused by the use of artificial intelligence tech-nologies (neural networks, chatbots, large language models, generative artificial intelligence, etc.) in the system of higher university education. The methodological basis of the study is the axiologi-cal approach, which allows us to fully assess the seriousness of ethical issues in higher education in the context of digital transformation. The article presents the results of an empirical study conduct-ed at two classical universities (Krasnodar State University and Southern Federal University), the purpose of which is to identify the attitude of the student audience (bachelor's and master's students) to the legitimate and illegal implementation of digital technologies with generative artificial intelli-gence in the educational process of the university. Ethical positions are compared in relation to the incorrect use of artificial intelligence technologies, as well as to issues of academic honesty and the inadmissibility of various forms of academic fraud on the part of future journalists (Kuban State University) and future teachers (Southern Federal University). The conclusion is made about the need for systematic targeted work with students aimed at preventing and combating manifestations of academic dishonesty and imitation practices in higher education, including those related to the introduction of digital technologies.