DOMINANTS OF NATIONAL STRATEGIES FOR THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN RUSSIA, GERMANY, AND THE USA

  • Sergei Kamolov Ph.D. in Economics, Associate Professor, Head of Public Governance Department, School of Govern-ance and Politics at MGIMO University, 76 Vernadsky Av.,119454 Moscow, Russia.
  • Anastasia Varos Researcher at the Institute of Smart Cities Comparative Studies, Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of Russia, 76 Vernadsky Av.,119454 Moscow, Russia.
  • Aleksandr Kriebitz Ph.D., researcher at Technische Universität München, TUM School of Management, Arcisstrasse 21, 80333 Munich, Germany.
  • Mikhail Alashkevich Senior Vice President at State Development Corporation WEB.RF, Moscow, Russia.
DOI: https://doi.org/10.17323/1999-5431-2022-0-2-85-105
Keywords: public administration, artificial intelligence, national strategy for the development of artificial intelligence

Abstract

The study based on multivariate comparative analysis identifies the dominants of national strategies for the development of artificial intelligence (AI) of the global superpowers. The article examines both structural similarities of strategic documents and fundamental differences in goal setting and functional expectations of sovereign AI technologies. Projecting fundamental ideas of technical and economic paradigms onto national strategies for the development of AI allows the authors to put forward a hypothesis concerning the formation of a common European, Russian and American proto-models of the AI development state policy. The dialectical nature of AI technologies demands consideration of the ethical aspects of the AI technologies application in Germany, Russia and the United States. As a result of the study, the foundations of various fundamental approaches of states to the development of AI technologies were established. Possible scenarios for the development of national strategic programs in the medium term globally were assessed.

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Published
2022-06-20
How to Cite
Kamolov S., VarosA., KriebitzA., & Alashkevich M. (2022). DOMINANTS OF NATIONAL STRATEGIES FOR THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN RUSSIA, GERMANY, AND THE USA. Public Administration Issues, (2), 85-105. https://doi.org/10.17323/1999-5431-2022-0-2-85-105
Issue
No 2 (2022)
Section
THE THEORY AND PRACTICES OF THE PUBLIC ADMINISTRATION

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