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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
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.
October 8, 2026
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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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Generative artificial intelligence in higher education: challenges, opportunities and future course of actions to achieve sustainable development goals

International Journal of Educational Management. 2026. Vol. 40. No. 1-2. P. 133–157.
Nazir Ahmed Jogezai, Koroleva D., Ivanov I.

Purpose

This study explores the challenges, opportunities and future course for the use of generative artificial intelligence (GAI) in higher education to attain the targets of the sustainable development goals (SDG4).

Design/methodology/approach

A phenomenological approach within the qualitative research tradition was adopted. Data were collected through semi-structured interviews with 11 purposefully selected university faculty members. A hybrid data analysis procedure was employed, combining the application of a GAI model (ChatGPT 3.5) with validation by the researchers.

Findings

The findings revealed several challenges and opportunities that may negatively affect higher education institution (HEIs) in attaining SDG4. The study has also identified significant opportunities and has proposed future courses to align GAI with the purposes of education and attain SDG4.

Research limitations/implications

Equitable access to GAI-driven education requires collaboration between governments, academia and private enterprises (Target 4.3). Research-based policies must ensure AI enhances learning without undermining critical skills (Target 4.4). Inclusive AI design can improve accessibility for diverse learners while mitigating biases (Target 4.a). Educators should be empowered to integrate AI while maintaining human-centered learning environments (Target 4.c). Finally, ethical AI guidelines are crucial for fostering global citizenship and sustainable development (Target 4.7). This study underscores the need for strategic policy frameworks to maximize AI’s potential in education.

Originality/value

This study provides original insights into the educational use of GAI, particularly its facilitation and impediments to HEIs’ efforts to achieve SDG4. The findings offer valuable contributions to the ongoing discourse on the integration of emerging technologies in higher education and their alignment with global development objectives.

Research target: Education Other social sciences
Language: English
DOI
Text on another site
Keywords: higher educationsocial construction of technology (SCOT)sustainable development goalsUniversity facultyGenerative AISDG4
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