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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
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Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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ALGORITHMIZATION OF LAW ENFORCEMENT MANAGEMENT PROCESSES USING ARTIFICIAL INTELLIGENCE

Relacoes Internacionais no Mundo Atual. 2024. Vol. 4. No. 46. P. 113–132.
Barchukov, V.

Objective: Despite the opportunities that are opening up due to the development of information support systems and artificial intelligence in law enforcement, unfortunately, the Russian Federation has not yet fully formed a scientifically based legal and organizational framework for their integrated and practical application in activities of law enforcement agencies. The article aims to assess how artificial intelligence may be applied and implemented in Russian Law Enforcement what may contribute to improving the efficiency of management of these bodies.

Methods: To solve this problem the author of the article employed following methodological framework: content analysis of research papers on the theme, survey methodology. The author himself creates a new model of the usage of artificial intelligence. For review the author has selected works from the journals which are indexed in Scopus and WoS. Regarding survey, 457 respondents were interviewed to assess those problems which exist in implementing artificial intelligence in law enforcement agencies.

Results: Respondents supported the use of modern information technologies, including various forms of artificial intelligence, for enhancing law enforcement activities. However, when prompted for specifics about certain technologies and their applications within individual agencies, responses varied. It was offered to use artificial intelligence in the following spheres: in processing of incoming cases and in protecting the private date stored by agencies. The author of the article proposes a new matrix representation of information using artificial intelligence which may contribute to better security of legal status documents.

Conclusion: Artificial Intelligence is the tool which may improve and enhance the activities of official agencies in various spheres. The details of that usage are to be thoroughly processed especially in the field of data security.

Research target: Law
Language: English
Keywords: information supportbig dataalgorithmization public administration law enforcement artificial intelligenceLEGAL REGULATION
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