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  • Между очарованием и испугом: диалог с «другим». Опыт анализа практик использования ИИ в профессиональной и повседневной жизни
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News
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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Между очарованием и испугом: диалог с «другим». Опыт анализа практик использования ИИ в профессиональной и повседневной жизни

Мониторинг общественного мнения: Экономические и социальные перемены. 2024. № 5. С. 3–17.
Shomova S., Качкаева А. Г.

The “neural network revolution” that is discussed today by both theorists and practitioners of the technological, manufacturing, and media industries is taking place in a dramatically changing world of tragic confrontations, crisis of global institutions, re-establishment of political and economic state partnerships and alliances, formation of su-pranational technological digital ecosystems. All this requires serious reflection on the part of science, at the interdisciplinary level and in a variety of thematic and subject areas of knowledge.This article outlines some vectors of academic discussions related, among others, to the triumphant invasion of artificial intelligence (and especially generative neural networks) into various spheres of human activity, communication, and creativity; to the risks and challenges brought by generative artificial intelligence into the life of society; to the emotional adaptation of homo sapiens to communication with a non-human but “intelligent” agent. The authors conclude with a review of articles included in the special issue of the Monitoring of Public Opinion: Economic and Social Changes Journal, which reflect on and analyze both the use of AI in education, communications, science, creative industries, and the integration of neural networks in media, judicial, religious, and leisure practices, and in the structure of the new everyday life.

 

Research target: Media and Communications Other social sciences
Language: Russian
DOI
Text on another site
Keywords: образованиемедиаискусственный интеллектнаукаeducationsocietymediascienceсоциумcreative industriesкреативные индустрииeveryday lifeгенеративные нейросетиэтика ИИ artificial intelligencegenerative neural networksAI ethicsпрактики повседневности
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