Artificial Intelligence in Subject-Oriented Control Paradigms

Abstract

The article discusses unresolved problems and limitations that arise with application of artificial intelligence (AI). These problems are largely related to the fact that ideas about AI are often formed without taking into account the control paradigms. The most common ones are paradigms that consider artificial intelligence not as means included in control activities or control paradigms, but as independent objects of research in the paradigms corresponding to the specifics of such objects. Such paradigms contribute to the development of certain areas of AI, but they also complicate their application in control processes and ignore many potential areas of AI that are relevant to the development of control problems. The organization of control processes is based on their specific paradigms (subjective, cybernetic, etc.) that set such specific requirements to AI implementations as well as to tasks in which it is advisable to use AI. Such control paradigms form tasks for AI, which contributes to successful practical application and development of AI as well as to mechanisms for controlling and neutralizing negative consequences. The author proposes a mechanism for interaction of subjects (persons) and active forms of AI (considered as pseudo-subjects). Taking into account the increasing role of reflexive activity in the processes of social control, the article considers the place and role of AI in ensuring reflexive activity in the subject paradigms of control. Analysis of trends in the development of controlling from the standpoint of the development of scientific rationality (classical, non-classical, and post-non-classical) allows us to conclude that each subject paradigm of control (“subject - object,” “subject - subject,” and “subject - meta-subject”) has its own specifics, which should be considered when developing active forms of AI.