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Imitation or Efficiency? Aesthetics of Artificial Intelligence

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Abstract

Artificial intelligence is regarded in the context of the tasks that are delegated to it during the development of technical projects and the features of the implementation of tasks that must be performed in real time without the possibility of interruption. The relevance of the study is determined by the fact that artificial intelligence sees as its main task the formalisation of decision-making with little or no human involvement. The basis of the methodological search are biological and prognostic methods. The current stage of development of socio-humanitarian technologies, and in particular, systems with artificial intelligence, prompts people to conduct such socio-technical projects, for the implementation of which the properties of the human biological brain are no longer enough. The result of research on artificial intelligence is the desire to understand the work of the human brain, to reveal the secrets of human consciousness and the problem of creating machines with a certain level of human intelligence. The novelty of the study is determined by the fact that the understanding of artificial intelligence is primarily aimed at creating an environment that can distinguish artificial intelligence from the entire array of technological devices not only as a platform of knowledge and program code. The practical significance of the study is determined by the necessity for standardisation and the formation of attitudes and the acceptability of the use of artificial intelligence in tasks that will subsequently affect social development.

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Funding

This article is оne of the research results "Project of Improving Basic Research Ability of Young and Middle-aged Teachers in Guangxi higher education institutions in 2020", "Research on the Art Communication Mechanism of Environment Based on Melting Media Environment" (Project Number: 2020KY05015).

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Correspondence to Zheng Chen.

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Chen, Z., He, Y. Imitation or Efficiency? Aesthetics of Artificial Intelligence. Found Sci 26, 475–486 (2021). https://doi.org/10.1007/s10699-020-09682-0

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  • DOI: https://doi.org/10.1007/s10699-020-09682-0

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