SOCIAL ASPECTS OF MANAGING RISKS AND OPPORTUNITIES FOR ADVANCED DEVELOPMENT OF NEURAL NETWORKS

Abstract

Artificial intelligence is increasingly becoming the object and analytical field of the problems of modern sociology. The transition to generative neural networks means a change in the global paradigm, a transition to industry 4.0 - to a new economy, new types of social communications and social relations. Modern artificial intelligence is already revolutionizing medicine, education, marketing, military affairs, and has a great impact on the youth generation. There is a new terminology in the description of algocracy; requests for state regulation of the use and deep learning of neural networks are formulated in different countries. Opportunities and limitations in the use of artificial intelligence cannot be considered without attention to the social aspects of risk management and opportunities for advanced development of neural networks. In the proposed article, this task is analytically considered in the projection on modern higher education.