Russian Citizens on the Challenges of Artificial Intelligence, Neural Networks and Social Optimism

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Resumo

Using sociological monitoring empirical data, the authors analyze the impact of the artificial neural networks and artificial intelligence development on the social moods of Russians under conditions of transforming labor market as a systemic social institution in the aspect of forming citizens' confidence in the future and optimistic image of that future. More than half of Russians today express their concerns about the artificial intelligence impact on the labor market closely related to the feeling of uncertainty and lack of confidence in the future. Citizens who express concerns for artificial intelligence impact on labor employment more often express negative attitudes and lack of optimism regarding their personal and country’s future. Growing pessimism is observed in general among respondents who receive information via the Internet and social networks.

Sobre autores

Victor Levashov

Institute of Socio-Political Research of FCTAS RAS

Moscow, Russia

Oksana Grebenyak

Institute of Socio-Political Research of FCTAS RAS

Moscow, Russia

Bibliografia

  1. Левашов В. К., Новоженина О. П. Меняющийся образ будущего в сознании российских граждан // Вестник РФФИ. Гуманитарные и общественные науки. 2021. № 5(107). С. 38–51. doi: 10.22204/2587-8956-2021-107-05-38-51.
  2. Левашов В.К., Великая Н.М., Шушпанова И.С. [и др.]. Куда идешь, Россия? Экспресс-информация. М.: ФНИСЦ РАН, 2021. doi: 10.19181/monogr.978-5-89697-344-7.2021.
  3. Левашов В.К., Великая Н.М., Шушпанова И.С. [и др.]. Как живешь, Россия? Экспресс-информация. 53 этап социологического мониторинга, июнь 2023 года. М.: ФНИСЦ РАН, 2023. doi: 10.19181/monogr.978-5-89697-418-5.2023.
  4. Хайнс Э. Как подготовиться к «безработному» будущему // Форсайт. 2019. Т. 13. № 1. С. 19–30. doi: 10.17323/2500-2597.2019.1.19.30.

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