Academic integrity challenges in the age of AI technology

Abstract

The article explores the primary challenges to academic integrity in the context of the rapid advancement of AI technologies. It examines the risks associated with the inauthentic use of generative systems by students, the challenges of evaluating academic work, and the need to develop AI literacy among participants in the educational process. It proposes directions for improving the policies of higher education institutions, updating methods of knowledge control, and strengthening the culture of academic integrity. It is concluded that AI can serve as both a challenge and a resource for improving the quality of education, provided it is used responsibly.