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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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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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