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News
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
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
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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Технологии доверенного искусственного интеллекта

Информационные технологии. 2024. Т. 30. № 8. С. 400–410.
С.М. Авдошин, Е.Ю. Песоцкая, Патрушев К. А.

With the development of artificial intelligence (AI) systems, their popularity is growing. Such systems are used in many
areas, from customer analytics and search engines to voice assistants and medical research. The tasks assigned to the systems are becoming more and more complex, and therefore artificial intelligence often needs to operate on confidential data; the results of the system’s operation can have large-scale consequences. This creates a new problem: the problem of trusted artificial intelligence. The authors set the goal of systematizing knowledge about possible threats and vulnerabilities associated with the use of AI technologies, analyzing existing standards in this area, and also identifying and describing relevant technologies that can increase confidence in the use of intelligent systems.

Research target: Computer Science
Language: Russian
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Keywords: машинное обучениедовериеtrustsecuritymachine learningигровой искусственный интеллектбезопасность artificial intelligence
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