Digital Evolution of Universities: Neural Networks in Education

The study articulates the main achievements and opportunities, as well as threats and potential risks of using neural networks in education. Artificial intelligence is the top research topic of 2022–2023 and the period of emergence of new terms such as large language models, dipfake, virtual and augmented reality, and so on. The paper evaluates the tremendous potential of artificial intelligence in education, among which methods such as using AI to create personalized educational programs, analyzing big data on learning success, automating the assessment and grading process, developing new teaching methods, and creating a new knowledge assessment system such as text analysis and pattern recognition. However, artificial intelligence has significantly increased risks in scientific and educational environments: the paper analyzes threats such as cyberstalking (online stalking), phishing (malicious URLs to access accounts), and others. Methodologically, the article is based on the concept of digital participation. Considering university professors as passive recipients or consumers of the services of artificial intelligence technologies, the digital inclusion strategy emphasizes only technological progress, linking it to the younger generation, and underestimates the concept of digital participation of scientists, based on systems thinking, scientific outlook, life wisdom, and devotion to moral ideals.