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«Public Administration Issues» Journal,

Post. address:
National Research University
Higher School of Economics
20 Myasnitskaya Str., Moscow 101000, Russian Federation
Location address:
of. 307, 4/2, Slavyanskaya sq., Moscow 109074, Russian Federation

Tel./fax: 7 (495) 772-95-90, ext. 12631

E-mail: vgmu@hse.ru 

Science Index rating

32nd place in the SCIENCE INDEX
for 2019 (more than 4000 journals)
Russian Science Citation Index

two-year impact factor for 2019: 2,631
(the citation of all sources)

Russian Science Citation Index
five-year impact factor for 2019: 1,725

Ten-year h-index 2019: 31

 

Journal's Indexing

Scopus




Research and educational journal
Published quarterly since 2007
ISSN 1999-5431
E-ISSN 2409-5095

Sergei Kamolov 1, Anastasia Varos2, Aleksandr Kriebitz3, Mikhail Alashkevich 4
  • 1 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.
  • 2 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.
  • 3 Ph.D., researcher at Technische Universität München, TUM School of Management, Arcisstrasse 21, 80333 Munich, Germany.
  • 4 Senior Vice President at State Development Corporation WEB.RF, Moscow, Russia.

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

2022. No. 2. P. 85–105 [issue contents]

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.

Citation: Kamolov, S.G., Varos, A.A., Kriebitz, A. and Alashkevich, M.Y. (2022) ‘Dominants of national strategies for the development of artificial intelligence in Russia, Germany, and the USA’,  Public Administration Issues, 2, pp. 85-105. (In Russian).
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ISSN 1999-5431
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