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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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2020 International Conference Engineering Technologies and Computer Science (EnT)

IEEE Computer Society, 2024.
Ignatev A.

AI ethics rapidly becomes one of the most significant issues in assessing the impact of AI on social welfare and development. A technology that does not meet the ethical criteria of a society is likely to face a long and hard process of acceptance regardless of its potentially tremendous positive potential for long-term socio-economic development. The development of artificial intelligence (AI) technologies is undoubtedly associated with the need to answer ethical questions, and the perception of AI in society will be largely determined by compliance with ethical criteria, whether written or not. At the same time, AI as a technological system itself does not have a natural ethical content; the authors believe that in practice ethical concerns may be addressed by means of ethical codes and compliance rules that articulate what constitutes ethical behaviour in specific areas of application of AI systems. Such a set of rules (a code for AI ethics) could be followed by all actors throughout the complete lifecycle of the system starting with the design stage. The specification of general ethical principles as industry-specific codes of practice would also facilitate classification, evaluation and measurement of systems, both at the technical level and at the level of public perception and trust.

The article considers examples of codification of ethical principles and offers several approaches for practical use in solving issues of ethics in the field of AI at the national and international level.

Research target: Computer Science
Language: English
DOI
Text on another site
Keywords: AI Ethics
2020 International Conference Engineering Technologies and Computer Science (EnT)
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