ARTIFICIAL INTELLIGENCE IN BUSINESS: SOCIAL ASPECTS OF THEORETICAL MODELING, ANALYTICS AND PRACTICE

Abstract

The analysis of artificial intelligence (AI) in recent decades has acquired an obvious interdisciplinary character, with various industry projections in the fields of economics, manufacturing, medicine, culture, education, as well as in the development and application of military equipment. The main conceptualizations and theoretical models of AI belong to the Western analytical tradition, proving to be in demand both for substantiating the conditions for achieving sustainable development and the positions of political and economic leadership of the United States of America and Western European countries, and for drawing attention to the ever-increasing riskiness of society and the radicalization of modernity. One of the many industry projections of artificial intelligence analysis has become its application in business. Here, as well as in continuation of the "tradition" of analytics in other areas, the constancy of the confusion of terms is obvious, therefore one of the subsections of the article is devoted to terminological clarifications. The dynamics of changes in recent years related to the development of AI is also disclosed. The article considers the formation of modern business landscapes, which is taking place with the increasing rooting of the impact of AI in everyday practices. It is shown that decision-making using business intelligence tools controlled by artificial intelligence is becoming a relevant innovative trend for large corporations interested in achieving strategic leadership and interaction. The social aspects of the AI service model are revealed, as well as the strengthening of the relationship between artificial intelligence and big data, the formation of a competitive business environment that significantly increases management and consumer risks. The results of research on the use of AI in Russian business, confirmed by industry experts, are presented.