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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Political Philosophy of Technology and Responsible Innovation in a Multipolar World: The Russian and Chinese Cases of AI Ethics

Философия. Журнал Высшей школы экономики. 2025. Vol. 9. No. 4. P. 13–46.
Mikhailovsky A., Seredkina E.

This article introduces a political-philosophical framework for understanding Responsible Innovation / Responsible Research and Innovation and ethical AI governance within a multipolar world. It argues that although R(R)I is often presented as a neutral and universal model for aligning science and technology with ethical and societal values, it remains deeply embedded in Western liberal-democratic assumptions of deliberation, participation, and transparency. When viewed through non-liberal cultural and political traditions, these principles acquire new meanings, revealing the limits of normative universalism. Through a comparative analysis of Chinese and Russian approaches, this article challenges the Western liberal-democratic foundations of R(R)I and AI ethics. The Chinese model, rooted in Confucian harmony (he) and virtue (de), frames responsibility as moral mediation, while the Russian approach associates responsible innovation with contributing to the common good and technological sovereignty. The study critiques the asymmetric perception of both models of AI governance— where China’s is seen as centralized yet harmonious, and Russia’s as merely state-controlled— and offers a revised view of Russian “sovereign AI” as a collaboration framework enabling dialogue among government, industry, and science: the Russian AI Ethics Code reveals more interdisciplinary collaboration than typically acknowledged. Finally, the paper explores the notion of a multipolar architecture of responsibility to create space for cultural diversity within a shared humanistic vision. This framework positions science and technology as tools for global cooperation rather than geopolitical competition.

Research target: Philosophy, Ethics, and Religious Studies
Language: English
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Keywords: искусственный интеллектResponsible Innovationответственные инновацииэтика искусственного интеллектаAI Ethicsmultipolar worldмногополярный мир artificial intelligencePolitical philosophy of technologyПолитическая философия техникиответственные исследования и инновациимногополярная архитектура ответственностисуверенный искусственный интеллектesponsible Research and InnovationMultipolar Architecture of ResponsibilitySovereign AI
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