PROSPECTS OF ARTIFICIAL INTELLIGENCE USE IN ANTI-CORRUPTION POLICY
In the paper, authors examine the prospects for the artificial intelligence introduction in anti-corruption policy, based on foreign experience, and also identify the difficulties of using such technology in Russia. This article discusses the possible risks when using Artificial Intelligence, as well as the specifics of Russian legislation in the field of information space regulation.
Federal Law (1990). N 395-1 “On Banks and Banking Activities”.
Federal Law (1995). N 144-FZ “On Operative-Investigative Activities”.
General Prosecutor's Office of the Russian Federation. Available online: http://crimestat.ru/analytics
Hlatshwayo, S., Oeking, A., Ghazanshyan, M., Corvino, D., Shukla, A. & Leigh, L.Y. (2018). The Measurement and Macro-Relevance of Corruption: A Big Data Approach. International Monetary Fund Working Papers. 18/195.
Larina, O. I. & Akimov, O. M. (2020). Digital money today: key risks and development trends. Finance: Theory and Practice, 24(4), 18-30 [in Russian].
United Nations Office on Drugs and Crime. Available online: https://aiforgood.itu.int/about/un-ai-actions/unov-unodc/
Voronczov, S., Ovchinnikov, A., Mamy`chev, A., Kravchenko, A. & Senik, A. (2021). Anti-corruption in the digitalization of the state, law and economy: conceptual and institutional aspects. Taganrog: Southern Federal University Press [in Russian].
World Bank Blogs: «Can artificial intelligence stop corruption in its tracks?». Available online: https://blogs.worldbank.org/governance/can-artificial-intelligence-stop-corruption-its-tracks
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International College Suan Sunandha
Rajabhat University, Bangkok, Thailand