Negative socio-geographical consequences of distributed artificial intelligence deployment: research directions

Abstract

The purpose of the research is to identify promising directions for studying the negative socio-geographical consequences of using spatially distributed artificial intelligence. To do this, it was necessary to solve the following tasks: understand the features of deploying distributed artificial intelligence; generalize the experience of assessing the social consequences of introducing artificial intelligence; analyze studies of artificial intelligence from the point of view of geography; identify promising areas of scientific research in the area under consideration. The deployment of distributed artificial intelligence is projected to rely on the 6G wireless infrastructure that will be available in the next decade. Before this, it is necessary to develop a methodology for studying the socio-geographical consequences of the spread of artificial intelligence. In relation to its deployment, the concept of “geocontext” has been introduced. The outlines of five future directions are outlined – intellectual geo-urbanistic, spatial-stratified, territorial-occupational substitution, cascade-geocritical and algorithmic-geocontextual.