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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Искусственный интеллект и социальное неравенство: философско-правовой аспект

Теоретическая и прикладная юриспруденция. 2024. № 4 (22). С. 56–67.
Рыбин А. И., Chaschukhin Y.

The purpose of this article is to analyze the impact of artificial intelligence (hereinafter also referred to as AI) on social inequality. It is evident that AI not only brings about advantages but also serves as a means of infringing upon human rights, exacerbating social stratification at both the level of individual societies and on a global scale. Through the application of formal legal and comparative legal methodologies, it becomes apparent that the current practices of utilizing AI in various legal domains often fall short of achieving the intended objectives, sometimes even serving as a catalyst for discrimination and the perpetuation of social inequality. The paper underscores the active engagement of scholars and practitioners in addressing social inequality and other challenges associated with AI through the lens of AI ethics. The concept of AI ethics is explored, along with a critical analysis of ethical frameworks adopted by several technology companies operating in the field of artificial intelligence. It has been demonstrated that the primary cause of the emergence of social disparity in the realm of AI is not a dearth of ethical tenets in AI-driven algorithms, but rather a lack of adequate formalization of these ethical principles themselves into machine-readable language. It has been shown that the legal regulations in this domain, typically, are advisory in nature and emanate from corporations rather than from state institutions.

Language: Russian
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Keywords: этикасоциальная стратификацияethicsцифровое неравенствоdigital inequality social stratification artificial intelligence искусственный интеллектMarxist critique of inequalityмарксистская критика неравенства
Publication based on the results of:
Legal mechanisms of overcoming inequality (2024)
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