The development of neural networks opens up large-scale opportunities for the academic community: unprecedented availability of information, speed of processing large amounts of data, optimization of research processes, a new level of personalization and interdisciplinarity of education. At the same time, this creates new challenges that universities have not previously faced: the risk of widespread falsification of data and substitution of meanings, information dependence on artificial intelligence, loss of critical and logical thinking, revision of traditional teaching methods and certification.

Key issues for discussion:
What opportunities does the development of neural networks offer to the academic community?
What challenges and threats can the branch of science and higher education face?
What are the basic principles of responsible and safe use of artificial intelligence achievements?