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News
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.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
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.
September 22, 2026
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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Применение технологий искусственного интеллекта при осуществлении цензуры со стороны интернет-платформ

Вестник Российского университета дружбы народов. Серия: Юридические науки. 2024. Т. 28. № 3. С. 584–603.
Diskin E.

The issue of abuse in regulating content moderation on internet platforms using artificial intelligence technologies is relatively new in legal science and practice. Regulatory frameworks in this area are still evolving, and enforcement practices have yet to be fully established. The author employs formal-legal, comparative-legal, historical methods and legal modeling to analyze the negative consequences of using software systems with artificial intelligence elements for user content moderation. By examining various technological solutions utilized by internet platforms for data collection and processing, the article highlights a potential threat to citizens’ rights to access and share information if legal relations governing content moderation with artificial intelligence are not significantly enhanced. It explores evidence suggesting that in the absence of regulatory constrains transparency requirements, internet platforms may begin censorship by removing content, based on their own criteria, even if it does not violate laws or platform guidelines. The author argues that unchecked actions by internet platforms could restrict individuals and political entities from expressing their views, posing a significant threat to democratic principles. By examining Russian, EU and US laws alongside current trends in internet platforms operations, the article concludes that the existing legal frameworks are inadequate and calls for legislative oversight and control over technologies used for content moderation, algorithms, and artificial intelligence applications.

Research target: Law Political Science, International Relations, and Public Administration Media and Communications
Language: Russian
DOI
Text on another site
Keywords: цензураискусственный интеллектinformation lawcensorshipмодерацияmoderationИнтернет цензураdigital rightsИнтернет-платформыInternet platforms artificial intelligenceзаконодательство об информацииправа пользователей
Publication based on the results of:
Human-centered digital public administration: definition and development of a methodology for analysis (2024)
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