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August 13, 2026
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Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Добродетельная виктимность и грани этичности третьего сектора

Журнал исследований социальной политики. 2025. Т. 23. № 2. С. 267–288.
Maksimenko A., Krylova D., Дейнека О. С., Бушуева А. М.

This article analyzes the phenomenon of virtuous victimhood in the context of crowdfunding, a method of attracting private donations in situations of institutional instability and a lack of regulatory frameworks within the third sector. Relying on the concept of the 'double signal' (Ok et al., 2020), the authors argue that demonstrating vulnerability alongside moral impeccability increases the legitimacy of seeking help and the likelihood of receiving resources. The study combines psychological and institutional perspectives, including an analysis of how nonprofit organisation representatives perceive themselves and how potential donors perceive the moral image of the victim. The empirical part of the study consists of two stages. In the first stage, a virtuous victimhood questionnaire adapted for a Russian sample (n = 101) was used. The results showed that employees of charitable organizations exhibited signs of symbolic victimhood, such as uncertainty about the future, a sense of being undervalued, and social invisibility, especially among respondents with longer professional experience. In the second stage (n = 409), the study employed an experimental design in which the degree of moral 'deservingness' of the character requesting a donation was manipulated. The results revealed that the greater the perceived virtue of the victim, the more willing were the respondents to provide financial support, and the larger the expected donation amount. The obtained data make it possible to interpret virtuous victimhood as a socially significant strategy of public engagement in the field of charity. The risks of its pragmatic use are discussed, as well as the need for institutional reinforcement of standards of transparency, accountability, and ethical responsibility. This article contributes to the development of an interdisciplinary research agenda focusing on the moral foundations of social support, trust, and legitimacy at a time when representative institutions are in crisis and aid distribution mechanisms are undergoing transformation.

Research target: Psychology Philosophy, Ethics, and Religious Studies Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: социальная справедливостьNGOsэтичное поведениенкоsocial justice ethical behaviorблаготворительные фондыCharitable Foundationsthe dark triadvirtuous victimhooddisproportionate exchangesignaling of virtuesignaling of victimhoodдобродетельная виктимностьнепропорциональный обмен
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