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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
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The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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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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