  Artificial intelligence is one of the drivers of modern technological
development. The current approach to the development of intelligent systems is
data-centric. It has several limitations: it is fundamentally impossible to
collect data for modeling complex objects and processes; training neural
networks requires huge computational and energy resources; solutions are not
explainable. The article discusses an alternative approach to the development
of artificial intelligence systems based on human-machine hybridization and
their co-evolution.
