This article provides a detailed examination of both the benefits and potential risks of implementing artificial intelligence technologies in higher education institutions. It also discusses the possibilities of using neural networks in the educational process, their impact on the quality of education, the availability of educational resources, and the individualization of students' educational trajectories. Particular attention is paid to the role of artificial intelligence in automating routine tasks, assessing knowledge, and creating adaptive curricula. The article also considers the ethical and legal issues associated with the use of artificial intelligence in the educational environment. It emphasizes the need to develop clear rules and standards that will ensure the fair and safe use of neural network technologies. In addition, aspects of academic honesty and possible risks of unfair use of artificial intelligence in educational and scientific activities are analyzed. An important part of the study is the results of a sociological survey “Students and Artificial Intelligence: A Look into the Future” conducted among students of Makhambet Utemisov West Kazakhstan University. The survey data show that generative artificial intelligence is widely used by students to solve educational problems, write scientific papers, and implement creative projects. Based on the data obtained, a conclusion was made about the need to continue scientific discussion of the issues of integrating artificial intelligence into the educational sphere, as well as developing methodological recommendations for its effective use in the educational process. Particular attention is paid to teaching students and teachers the principles of responsible interaction with artificial intelligence, developing critical thinking and analyzing information obtained with its help.
Kushekkaliev et al. (Tue,) studied this question.