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Neural Network Algorithms in Current Processes of Transformation of Traditional Worldview and Ideological Systems

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  • S. V. Volodenkov
Abstract
This study is devoted to identifying potential risks, challenges, and threats of intensive development and active implementation of artificial intelligence technologies and in particular self-learning neural network algorithms in the current practice of socio-political communications associated with active information impact on mass consciousness. This study proves that contemporary digital technological transformations and the active spread of digital technologies most directly influence the transformation of traditional worldview systems and ideologies. Based on the results of the study, it is concluded that with the help of digital tools, there is a significant information and communication impact on mass consciousness in terms of influencing traditional worldview and ideological systems. In this regard, the author puts forward the thesis about the need to form and maintain the digital sovereignty of contemporary states as a key conclusion. It is viewed as a critical condition for preserving and protecting national worldview and ideological spaces in the conditions of current global technological transformations

Suggested Citation

  • S. V. Volodenkov, 2024. "Neural Network Algorithms in Current Processes of Transformation of Traditional Worldview and Ideological Systems," Outlines of global transformations: politics, economics, law, Center for Crisis Society Studies, vol. 17(2).
    • Handle: RePEc:ccs:journl:y:2024:id:1462
    DOI: 10.31249/kgt/2024.02.01
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