THE PROBLEM OF ERGONOMIC EVALUATION OF EVOLVING SOCIOTECHNICAL SYSTEMS WITH ARTIFICIAL INTELLIGENCE

Abstract

Evolving the technogenic world, developing network and cyber-physical systems include mechanisms of social and environmental self-organization due to transforming human experience within the cycles of autopoetic techno-environment self-organization. At the stages of forming and implementing a technical project, an important role in creating new forms of socio-technical systems (artificial intelligence technology) is played by the concept adopted by the developers including the mechanisms of self-organization and the system development, associated with the methodology for evaluating the ergonomic properties of the systems being created. Ergonomic evaluation plays a special harmonizing and corrective role in creating human-machine sociotechnical systems. The article shows the decisive importance in forming an ergonomic evaluation of sociotechnical systems of the reduction mechanisms, which determine the evolution of these systems in the required direction. A sociotechnical system with artificial intelligence a priori does not have all the properties known and understandable to authors and users in advance, it manifests the properties only in a working context, which does not allow using the usual methods of ergonomic appraisal applied in evaluating the constant qualities of a sociotechnical system in relation to the user. The special role of symbiotic relationship in maintaining the effective operation of sociotechnical systems with distributed artificial intelligence is noted. The processes of coherence-decoherence that affect changing forms of organized complexity and determine the system viability in the environment are considered. The problem of deactivating the elements of the technical environment generated by technologies into the evolving part of the socio-technical system is posed. On the example of the Internet, the paper shows that the free evolution of the technical environment associated with the excessive information diversity of the network social component leads to accelerating its evolution, but reduces its social sustainability and stability. The extreme danger of total digitalization is emphasized.