PROSPECTS FOR EFFECTIVE INTERACTION BETWEEN ARTIFICIAL INTELLIGENCE AND HUMAN PERSONALITY IN MODERN DIGITAL SOCIETY

Abstract

The article reveals the prospects for effective human interaction with artificial intelligence in modern digital society.

Within the framework of metasubjective methodology, which is considered as a methodology of personal self-development in the conditions of a dynamic world, the subject improves the means of their own cognition in accordance with the patterns of personal development, the dynamics of the development of the reference society, and the awareness of social transformations. Such changes include the processes taking place in the information and technological environment, as well as the development of artificial intelligence technologies, which are constantly evolving, becoming more complex, and acquiring new functional capabilities.

The evolution of artificial intelligence models reflects the logic of the methodology of self-development, according to which subjects of cognition are analyzed both from the standpoint of their internal psychological organization and in view of their participation in the processes of self-development and interaction with other subjects of intellectual communication.

The following prospects for effective interaction between artificial intelligence and human personality have been identified: skillful use of AI + human skills, in particular, understanding how to formulate a request for information, including abstract information; expanding the possibilities of automating and optimizing one’s own activity, including delegating such tasks as processing requests, large volumes of data, constructing graphs, and performing routine tasks; mutual learning; developing models of cognitive interaction with humans for AI in order to create new ways of modernizing, standardizing, optimizing human activity, and increasing its effectiveness; optimizing time resources for humans through AI performing those business processes that allow people to free up time for learning and for tasks that only humans can perform; forming standards for AI-human interaction, both at the level of individual actions and at the level of organizations and society as a whole; determining models of joint decision-making, including the choice of interaction method and the share of AI in decision-making, as well as assessing the impact of AI actions on human decisions; and systematic rethinking, which involves applying new ways of improving activities, processes, and business models in order to achieve exponential growth in efficiency.