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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.
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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Генеративный искусственный интеллект в образовательном процессе: вызовы и перспективы

Вестник Московского государственного университета культуры и искусств. 2023. № 5. С. 66–75.
Жуков А. Д.

The article analyzes collisions arising from the use of artificial intelligence (AI), in particular ChatGPT, in modern society and the educational process. The author compared ChatGPT's answers to the question about the dangers of its use with the provisions of three codes of cyber ethics and came to the conclusion that out of ten answers proposed by “machine intelligence”, nine have a correlation with codes of cyber ethics: 4 ChatGPT answers are present in all three codes of ethics created by people, 3 in two “human” codes, another 2 in at least one Code. The author distinguishes between threats when using new versions of artificial intelligence in a broad social sense and those that are specific to the education system. Assessing the prospects for using AI in educational practice, the author makes the assumption that students will be encouraged to independently mark tasks completed with and without AI. The gradual formation of a culture of using AI in educational practice (by analogy with the use of photographs without a filter) will reduce the severity of the problem of academic fraud. But, in addition to clarifying the concepts of plagiarism and copyright, the education system requires a more refined understanding of independent work and creative activity. Where the verification of a completed task is associated not with the acquired amount of information, but with the developed ability of critical thinking, the role of personal communication between the student and the teacher in the educational process radically changes.

Research target: Education
Language: Russian
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Keywords: educationцифровизацияgains in academic and critical thinking skillsdigitalizationкритическое мышление в цифровой средеГенеративный искусственный интеллект artificial intelligenceОбразование
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