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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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Новые интерфейсы и новые медиаторы

Вопросы философии. 2025. № 10. С. 67–76.
Maksimenkova O. V., Сегал А. П.

The study is devoted to the humans and artificial intelligence (AI) interaction. The authors view this interaction as mediated by interfaces that both simplify it and hide the real mechanisms of encoding and decoding messages (according to Shannon). In such a situation, the characteristics of the actor of communication are blurred, and it is not the actor himself who appears as such, but his instru ment, and the message is not a decoded signal. However, taking a closer look at nowadays practices of interaction with AI, an invariance becomes noticeable, placing human interaction with AI in the general range of different types of pur poseful (human) activities. The authors, having identified this invariance (gen eral), offer their view of what is special, the specificity that is characteristic of “digital” interaction. According to the authors, modern intelligent tools make it possible to offer an “intermediate user” (a person included in the process at the stage of goal achievement). A goal formed in such a way that “on this side of the interface” it looks like it was set by AI. The authors consider the applied aspects of the situation and draw several quite interesting conclusions.

Research target: Computer Science Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: искусственный интеллектсубъектинтерфейссознаниезнаниемышлениемедиаторconsciousnessinterfacethinkingразделение трудаобъектmediumартефактactorobjectknowledgedualityдвойственностьЧЕЛОВЕКО-МАШИННОЕ ВЗАИМОДЕЙСТВИЕhuman-computer interactionartifactинтерпретируемостьgenerative modelsinterpretabilityгенеративные моделибольшие языковые моделиlarge language models artificial intelligence division of labor
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