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October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Navigating the Blessing–Curse Paradox: An Ecological Perspective of Cultivating a Culture of Responsible Generative AI Use in Higher Education

Ch. 16. P. 247–272.
Koroleva D., Jogezai N.

The rapid growth of artificial intelligence (AI), particularly generative artificial intelligence (GAI), has positioned educational institutions and individual learners at the crossroads of opportunity and risk, highlighting both significant benefits and potential drawbacks. In this context, fostering a culture of responsible and meaningful GAI use has become essential for leveraging its advantages while mitigating associated challenges. This chapter presents the results of two phenomenological qualitative studies that explore this cultural dimension. Study one examined Russian university professors' perspectives on the articulation of individual and organizational GAI standards, while Study two investigated the views of Russian educational managers, aiming to provide a balanced assessment of guidelines at both levels. Employing semi-structured interviews and focus group discussions, the findings illuminate how individual or microsystem, and organizational, or mesosystem interactions and tensions shape the development of guidelines and practices that promote a responsible approach to GAI use in higher education. At the microsystem level, individual faculty seek awareness, autonomy, and ethical engagement with GAI, while at the mesosystem level, organizational structures, guidelines, and policies mediate these efforts, negotiating the balance between individual practices and institutional support and accountability. The results highlight that responsible GAI governance emerges not as a set of static rules but through ongoing interactions between individual agency and organizational frameworks. Future research can incorporate observational data, longitudinal designs, or cross-cultural comparisons to further validate and extend these insights.

Language: English
DOI
Keywords: higher educationgenerative AI

In book

GenAIED: Cultural and Pedagogical Catalysts in Higher Education
L.: Routledge, 2027.
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