Artificial intelligence in the public sector

Author:

Buklemishev O. V.1ORCID

Affiliation:

1. Lomonosov Moscow State University

Abstract

The article critically examines the possibilities of using steadily developing artificial intelligence systems in the public sector of foreign countries and Russia. It is noted that despite the prospects of obtaining significant gains, there are a number of technical, economic and socio-ethical limitations associated with the introduction of artificial intelligence, taking into account its features as a general purpose technology. The increasing value of professional judgment, which allows using the results of artificial intelligence, is emphasized. Based on the principles of working with artificial intelligence developed in world practice, as well as the peculiarities of the domestic institutional structure and trust in it by the citizens, a conclusion is made about the need for a cautious approach to the use of artificial intelligence technologies in applications of the Russian public sector. Such practices can not only cause considerable harm to specific individuals in the process of current functioning of domestic institutions, but also hinder their transformation.

Publisher

NP Voprosy Ekonomiki

Subject

Economics and Econometrics,Finance,General Economics, Econometrics and Finance,History

Reference49 articles.

1. Voloshinskaya A., Komarov V. (2015). Evidence-based public policy: Problems and prospects. Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk, Vol. 4, pp. 90—102. (In Russian).

2. Kurdin A. A. (2021). Prospects of AI implementation into business management practices: A survey (Based on the materials of the research seminar on digital economy studies at the Faculty of Economics of Lomonosov Moscow State University). Scientific Research of Faculty of Economics. Electronic Journal, Vol. 13, No. 3, pp. 57—66. (In Russian). https://doi.org/10.38050/2078-3809-2021-13-3-57-66

3. RANEPA (2019a). The state as a platform: People and technology. Moscow: Russian Presidential Academy of National Economy and Public Administration. (In Russian).

4. RANEPA (2019b). Artificial intelligence: On choosing the strategy. Moscow: Russian Presidential Academy of National Economy and Public Administration. (In Russian).

5. RANEPA (2020). Ethics and digit: Ethical problems of digital technologies. Moscow: Russian Presidential Academy of National Economy and Public Administration. (In Russian).

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