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Regulating the Risks Associated with Malicious Use of Artificial Intelligence in the US, EU and China

Bibliographic Data

ID19367252
AuthorsDarya Bazarkina (0000-0002-8421-5396, St Petersburg University), D Yu Bazarkina (Institute of Europe RAS), Evgeny Pashentsev (0000-0001-5487-4457, St Petersburg University), E N Pashentsev (Diplomatic Academy of the Ministry of Foreign Affairs of Russia), Ekaterina A Mikhalevich (0000-0003-0703-4134, Gazprom (Russia))
Year2024
Issue6 (127)
Pages156-167
Publication date2024-12-15
Open AccessYes
TypeARTICLE
VenueContemporary Europe (JOURNAL)
Journal identifiersISSN: 0201-7083 • E-ISSN: 0201-7083
PublisherThe Russian Academy of Sciences (PUBLISHER)
DOI10.31857/s0201708324060147
OpenAlexW4405870737
LanguageEN
Citations received1
References cited17

The article presents an analysis of the main mechanisms for regulating risks caused by the malicious use of artificial intelligence (MUAI) in the USA, the EU and China. The relevance of the MUAI problem is proven by numerous data on the use of artificial intelligence (AI) technologies by antisocial actors. The authors set a goal – to identify the specifics of regulating MUAI risks in the USA, EU and China – due to the innovative experience of these three jurisdictions. It was found that in the USA counteraction to MUAI has not yet been shaped into systemic decisions at the level of federal authorities. It is more about decisions that take into account the growing risks of MUAI within the framework of general regulation of AI and the safety of its use. The EU has adopted the world's first Law on AI, which however pays little attention to the MUAI issues, and the main initiators of proposals to counter and regulate risks are law enforcement agencies, such as Europol. In China, MUAI risk regulation is most centralized and is becoming the subject of strategic documents and legislative acts. The authors use a systemic approach when considering various options for MUAI threats and formulating the research conclusions

Business · China · Computer security · Economics · Enforcement · Law and economics · Law enforcement · Legislature · Political science · Computer Science · Digital Transformation in Law · Ethics and Social Impacts of AI · Law · Legal and Policy Issues

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  • Normative Challenges of Risk Regulation of Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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