ISSN 2587-814X (print),
ISSN 2587-8158 (online)

Russian version: ISSN 1998-0663 (print),
ISSN 2587-8166 (online)

Sergey Avdoshin1, Elena Pesotskaya1
  • 1 National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow, 101000, Russian Federation

Trusted artificial intelligence: Strengthening digital protection

2022. No. 2 Vol 16. P. 62–73 [issue contents]

      This article is devoted to aspects associated with the up-coming need for mass implementation of neural networks in the modern society. On the one hand, the latter will fully expand the capabilities of state institutions and society delegated to perform numerous tasks with higher efficiency. However, a significant threat to democratic institutions obliges society to set out the concept of reliable artificial intelligence (AI). The authors explore a new concept of a trusted AI necessary for the scientific and international community to counter improper future digital penetration. Explaining to what extent digital transformation is mandatory, the authors emphasize the numerous dangers associated with the applications of artificial intelligence. The purpose of the article is to study the potential hazards of neural networks’ abuse by the authorities and the resistance to them with reliance on the trusted AI. Studying various aspects of digital transformation and the use of artificial intelligence technologies, the authors formalize the dangers associated with the emergence and propose an approach to the use of digital protection technologies that can be trusted.

Citation: Avdoshin S.M., Pesotskaya E.Yu. (2022) Trusted artificial intelligence: Strengthening digital protection. Business Informatics, vol. 16, no. 2, pp. 62–73. DOI: 10.17323/2587-814X.2022.2.62.73
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