THEORETICAL PREREQUISITES FOR THE FORMATION OF A PARADIGM OF SYNERGY BETWEEN HUMAN AND ARTIFICIAL INTELLIGENCE IN SOLVING THE PROBLEMS OF CIRCULAR TRANSFORMATION OF METALLURGICAL ENTERPRISES

The article substantiates the feasibility of synergy between natural human and artificial intelligence (HI/AI) in order to promote deep learning of the latter and increase the adequacy of its functioning in solving the problems of circular transformation of industrial enterprises, demanded by the concept of "Industry - 4.0". As an example, the problems and prospects of digital-circular transformation of such a resource-intensive and environmentally harmful industry as ferrous metallurgy are analyzed. A new paradigm of HI and AI synergy is formulated, the main task of which is the need for temporary acceptor control of AI, which, in turn, implies the implementation of continuous control of the adequacy of decisions made by AI by HI. It is noted that such obligatory, level differentiated, but fully interrelated and interdependent synergy of HI and AI should function until the level of overall technical, economic and environmental efficiency acceptable for technological processes of recycling is achieved.