Vectors of artificial intelligence usage in new generation universities

The development of artificial intelligence (AI) technologies is an important area of digital transformation that affects the educational process in higher education institutions. Modern universities are actively implementing algorithmic solutions to optimize learning, automate administrative processes, and personalize the educational environment. Despite its considerable potential, the widespread use of AI in education raises debates about its ethical aspects, impact on traditional approaches to learning, and the need to ensure information security. The purpose of the paper is to identify the main vectors of AI usage in new generation universities, analyze the opportunities and challenges of its integration into the learning process, administration, and academic interaction. The results of the research showed that AI has a wide range of applications in higher education. Three main categories of AI have been identified: weak, strong, and super-strong, of which traditional, adaptive, and generative algorithms are most common in education. The growing potential of generative AI contributes to the expansion of its use in the creation of educational materials, organization of knowledge assessment, automation of administrative tasks, and increase of students' engagement in the learning process. An important aspect is the combination of algorithmic models with traditional teaching approaches to preserve academic values. Conclusions. The implementation of AI in new generation universities opens up significant opportunities for improving the learning process and administrative management. At the same time, this requires the development of effective regulatory mechanisms that take into account ethical and regulatory aspects. Further research should focus on developing strategies for integrating AI into the educational process while ensuring its responsible use and data security.