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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.
October 12, 2026
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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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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.

 

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Об оценке риска применения технологий искусственного интеллекта

С. 325–331.
Алексеев А. О., Алексеева И. Е., Erahtina O. S.

The article examines the factors influencing the determination of the risk level of the use of AI systems. The authors conclude that in order to determine the level of risk, it is necessary to assess the influence of such interrelated factors as the type of AI technology, its scope, and the status of the developer. To solve this problem, it is proposed to construct a simplex in three-dimensional space or use a petal histogram. It is proposed to determine risk categories by divisions of risk assessment scales (extremely high, high, significant, medium, moderate, low). Accordingly, the level of risk of applying a certain AI technology can be defined as the area of a simplex or triangle.

Language: Russian
DOI
Text on another site
Keywords: risk assessmentоценка рискатехнологии искусственного интеллектаartificial intelligence technologiesdeveloper statustriple representation of risksстатус разработчикатройственное представление рисков

In book

Цифровые технологии и право: сборник научных трудов I Международной научно-практической конференции (г. Казань, 23 сентября 2022 г.)
Erahtina O. S., Алексеев А. О., Алексеева И. Е. Т. 3. , Каз.: Издательство «Познание» Казанского инновационного университета, 2022.
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