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News
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.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Проблема ориентации искусственного интеллекта на человеческие ценности (AI value alignment) и социология морали

Социологические исследования. 2023. № 9. С. 16–28.
Deviatko I. F.

The article briefly examines the popular ideas about the goals and possibilities of human control over artificial intelligence that has been developed at the earlier stages of the scientific and technological revolution and substantiates the thesis about their incompleteness in terms of not taking into account new asymmetries of control and technological realities that arose as a result of the "digital revolution". An analysis of the reasons why the sociology and social psychology of morality are acquiring a decisive role as well as a new large-scale research field in the development of ethically oriented AI systems is presented, which reconfirms the importance of a theoretically based empirical study of the normative dimension of social life. An additional sociological substantiation and a narrower interpretation of the AI value alignment principles put forward by some authors as a solution to the problems of the ethical orientation of AI systems is proposed.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: искусственный интеллектсправедливостьjusticeсоциология моралиsociology of moralityartificial intelligenceмножественность нормативных системAI value alignmentplurality of normative systemsсовмещение ИИ с человеческими ценностями
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