The global crisis demands a search for new paths for the development of civilization. The technocratic path generates numerous negative side effects, in particular the emergence of a new type of human—Homo technicus. The creation of artificial intelligence offers new technical possibilities, but simultaneously increases risks, threatening the very essence of human society. Among the hidden threats posed by artificial intelligence are as yet unexplored risks to human culture. Preserving the essence of humanity, as expressed in the Homo traditum model, requires a new ideology that limits the risks posed by technocracy. The purpose of the study is to examine the socio-cultural models of Homo traditum and Homo technicus and the interactions that arise between them, taking into account the factor of artificial intelligence. The objectives of the study: to determine the initial principle for constructing a working hypothesis and selecting an adequate methodology; testing the applicability of the methodology of moral and religious neoinstitutionalism to the problem of the influence of artificial intelligence on popular culture; identifying the factors strengthening Homo technicus in spiritual culture; analyzing the risks of digitalization for spiritual culture; Identifying the greatest existential threat posed by artificial intelligence; identifying the qualitative human traits that distinguish them from artificial intelligence. The study applies the methodology of moral and religious neoinstitutionalism. Ten commandments of artificial intelligence in the cultural sphere and some practical measures to strengthen state and public control over these processes are proposed.
Building similarity graph...
Analyzing shared references across papers
Loading...
N. Privalova (Tue,) studied this question.
www.synapsesocial.com/papers/69fa979b04f884e66b53187f — DOI: https://doi.org/10.12737/2306-1731-2026-14-1-68-80
N. Privalova
Scientific Research and Development Socio-Humanitarian Research and Technology
Building similarity graph...
Analyzing shared references across papers
Loading...