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Artificial Intelligence Versus Human Intelligence in Socio-Cultural Measurement

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Socio-economic Systems: Paradigms for the Future

Abstract

The aim of the article is a comparative analysis of human intelligence and artificial intelligence, as well as the search for a methodological approach that would allow resolving the contradictions that arise between different areas of knowledge in their understanding. It is proved that comprehension of the essence of artificial intelligence reaches a paradigmatic level and the solution of discussion issues at the level of a culture-centric paradigm is proposed. Through a comparative analysis of human intelligence and artificial intelligence, the insufficiency of both the techno-scientific approach to their perception, which significantly narrows the understanding of phenomena and the philosophical approach, which takes science to the level of high abstractions, is proved. It is recommended to switch to the sociocultural dimension of artificial intelligence and human intelligence, which, recognizing the merits of technoscience and philosophy, on the one hand, takes into account the specifics of the sociocultural context and, in this regard, removes the limited perception of artificial intelligence as an element of the technosphere and reveals the numerous connections of the technosphere with other spheres of life society, and on the other—thanks to the last circumstance, it concretizes the philosophical vision of intelligence. Recognizing the highest value of man as the creator of culture and the result of its creation, the authors of the article emphasize that human intelligence, due to the presence of special substrate components that determine its existence in the space-time continuum, is incommensurable with artificial intelligence.

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Correspondence to Irina A. Panteleeva .

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Morozova, O.F., Nozdrenko, E.A., Panteleeva, I.A. (2021). Artificial Intelligence Versus Human Intelligence in Socio-Cultural Measurement. In: Popkova, E.G., Ostrovskaya, V.N., Bogoviz, A.V. (eds) Socio-economic Systems: Paradigms for the Future. Studies in Systems, Decision and Control, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-030-56433-9_24

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  • DOI: https://doi.org/10.1007/978-3-030-56433-9_24

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