Abstract

Digital trust and, simultaneously, global distrust became a topical issue in the context of modern trends in the socioeconomic systems development: informatization, internetization, networkization, digitalization. A. Guterres asserts global distrust as one of the four “horsemen of the apocalypse” that threaten all of humanity at the present time. Vulnerability of Russia's positions in the global information and digital space, represented in the predominance of foreign (primarily Western) software and Chinese hardware, cyber-attacks on strategic infrastructure facilities, leaks and the actual vulnerability of personal data of the population (often almost unhindered access for fraudsters to the personal data of residents and non-residents), actualizes the need to strengthen national information security and, therefore, the perspective of the article. A research of digital trust, coupled with artificial intelligence and cyber, information and digital economic security, is conducted based on the methods of institutional-economic, interdisciplinary, empirical generalization, interpretation of new economic institutions and concepts, hypothesizing and scientific approach to the analysis of a new digital socio-economic reality. The research results are, firstly, a confirmed relationship between digital trust and digital economic security; second, digital trust and artificial intelligence; third, digital distrust and institutional traps in the context of artificial intelligence; fourth, the institutional aspects of AI on the example of China. The authorial hypothesis is formulated as the following: are destructive institutions and institutional-economic thinking formed in the context of the economy and society digitalization, the development of a Russian digital economy model with conflicting institutions? The novelty of the study involves clarifying the definitions of the institution of trust, digital global distrust, as well as digital institutional traps, the level of digital trust (for business, the abovementioned is reflected in building a trust system in supply chains, measured in terms of user confidence in information and digital goods, in the protection of personal data, their confidentiality).

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