Reflexivity and Artificial Intelligence in Control (Subjectness-oriented Approach)

The organization of control processes is based on specialized paradigms and ontologies (subjectness, cybernetic, etc.). Control paradigms and ontologies set requirements for AI, which determine the development of AI, as well as the creation of mechanisms for controlling and neutralizing negative consequences. Reflexivity in the control of social systems has become increasingly important in recent decades. The article examines the place and role of AI in ensuring reflexive activity in the subjectness paradigms of control. The evolution of subjectness paradigms is considered from the standpoint of the development of scientific rationality. The proposed approach can be used to solve urgent problems of IFAC and TECIS due to the increasing role of hybrid reality environments (subjectness, digital, physical), including the problems of convergence of natural and artificial intelligence.