Fromdigitalalgorithmstohumandecisions: newapproachestomanagementintheageof AI andcrises

Abstract

Relevance of the studyis determined by the rapid integration of artificial intelligence (AI) into management systems, which under conditions of crisis and war is accompanied by the strengthening of algorithmic rationality and a simultaneous weakening of the human dimension in decision-making processes. In such circumstances, the risks of management dehumanization, erosion of trust in governing institutions, and loss of social legitimacy of managerial decisions become particularly acute, especially in areas characterized by high social and moral sensitivity.The purpose of the articleis to scientifically define and substantiate the limits of automating managerial decision-making through the use of AI in conditions of crisis and war by analyzing the role of managers’ emotional intelligence (EI) in ensuring decision quality, social acceptability, and humanistic orientation.Research methods are based on system and structural-functional analysis of managerial processes in a digital environment, logical and analytical generalization of contemporary approaches to AI application in management, comparative analysis of algorithmic and human components of decision-making, and conceptual modeling of the boundaries of delegating managerial functions to algorithmic tools.Research results. The features of AI functioning in management systems under crisis and wartime uncertainty were examined, and it was established that algorithmic tools are limited to formalized models and are unable to adequately account for social, psychological, and moral factors. It was identified that EI of managers serves as a key resource for forming well-grounded, responsible, and socially legitimate managerial decisions. The feasibility of hybrid management models was substantiated, in which AI is applied as an analytical support instrument, while EI ensures contextual interpretation, accountability, and ethical justification of managerial actions.Conclusions. It is generalized that uncritical automation of managerial decision-making using AI in conditions of crisis and war generates systemic risks of management dehumanization, declining trust, and loss of social legitimacy. The necessity of clearly delineating algorithmic and human managerial functions while preserving the decisive role of managers’ EI is substantiated.Prospects for further research are associated with empirical assessment of the impact of EI on the effectiveness of AI-enhanced managerial decisions, the development of human-centered digital governance models, and the study of EI’s role in crisis and socially sensitive management contexts.