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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.
September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.

 

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Пролетаризация труда в условиях развития искусственного интеллекта

Гуманитарные исследования в Восточной Сибири и на Дальнем Востоке. 2026. № 2 (76). С. 58–68.
Моисеев Г. В.

The article presents a philosophical analysis of the transformation of labor in the context of the spread of AI technologies. Criticizing the notion of AI as an autonomous and neutral technology leading to the replacement of human labor, the author proposes to analyze the social consequences of AI development within the framework of automation processes and the social division of labor. Drawing on Marxist analysis, AI is interpreted as a new type of machine – a sociotechnical infrastructure in which forms of collective labor and knowledge become embedded in algorithmic logic, transforming an ever-widening spectrum of human activity into an object of formalization and reproduction. This approach demonstrates that the automation of cognitive and communicative processes does not eliminate labor but restructures its forms, deepening the processes of alienation and proletarianization. These processes are particularly evident in digital labor, including platform employment, «ghost work» for AI training, and the everyday production of data by users. Drawing on the ideas of B. Stiegler, the author examines the proletarianization of digital labor as a multi-level process affecting labor organization, knowledge about labor, communication, and subjective forms of attention and thinking.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
DOI
Text on another site
Keywords: отчуждениеalienationdigital labourцифровой трудавтоматизация труда artificial intelligenceИскусственный интеллектпролетаризацияproletarianizationlabour automation
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