Implementation of autonomous digital platforms in the military sphere: social and institutional dimensions

The article examines the role of AI in the military and management spheres, as well as the institutional changes that are taking place due to the increased use of autonomous digital platforms. The relevance of the topic is justified by the dynamic growth of the potential for the use of intelligent systems that radically change decision-making mechanisms, ways of allocating responsibility and management models in armed conflicts of the present time. The changes in the structures of confrontation resulting from the introduction of self-learning platforms are also discussed in detail.The purpose of the study is to identify the mechanisms and analyze the consequences of the transformation of military strategies associated with the transition from classical forms of warfare to practices based on the use of autonomous digital platforms. The paper uses an institutional method to analyze the institutional changes taking place under the influence of the introduction of AI. The application of the system method allowed us to consider AI systems as an integral part of the modern world, in which the separate existence of man and machine is no longer possible. It is noted that the large-scale introduction of autonomous digital platforms generates diverse risks not only of a technical, but also of an anthropological and existential nature. The problem of responsibility for the results of decisions taken, the role of a person (including a controlling one) in a changing world, and the legal provision of a transforming reality are considered. At the same time, the potential of autonomous digital systems is still the subject of serious discussion, since its boundaries have not been defined. The author comes to the conclusion that the human role should not be nominal, the operator should always be able not only to monitor the activities of AI systems, but also to interpret the result of the decisions made and, if necessary, have the authority to correct them. It is obvious that the transition of AI from auxiliary functionality to the leading role of an autonomous developer of decision scenarios radically changes the system of relationships between humans and computing systems, so it needs to be adapted to modern management decision-making algorithms, as well as to ensure the proportionality of social dynamics, public expectations and the direction of institutional transformations.Â