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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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Роль искусственного интеллекта в антикоррупционном рекрутинге

Научный результат. Серия: Технология бизнеса и сервиса. 2022. Т. 8. № 2. С. 94–107.
Krylova D., Maksimenko A.

This article analyzes in detail the technologies of artificial intelligence in the field of recruiting, taking into account the parameters of reliability, loyalty and honesty: in the context of the 4 stages of development of AI in the field of recruitment, the intellectual methods used in relation to each problem area of ​​recruitment are considered, the advantages of technological solutions of the most popular among users of recruiting platforms that use AI algorithms in their work, aimed at selecting the most honest and professional candidates. Based on the review of foreign studies given by the authors, it is possible to draw conclusions about the positive (speed and quality of the selection of applicants according to the requirements of employers) and negative (the risk of discrimination, a decrease in the perceived value of the company's brand) effects that are associated with the introduction of artificial intelligence in the system of search and selection of candidates. In the course of communication with representatives of the largest recruiting services using AI in the field of recruitment, the possibilities of intelligent solutions in predicting the success of candidates and determining their propensity for opportunistic and corrupt behavior were revealed.

Research target: Psychology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: искусственный интеллектпротиводействие коррупцииartificial intelligenceanti-corruptionчат-ботchatbotanti-corruption recruitmentselection of honest employeesanti-corruption human resource managementантикоррупционный рекрутментотбор честных сотрудниковантикоррупционное управление человеческими ресурсами
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