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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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Может ли искусственный интеллект быть «этичным»? Перспектива (современной) этики добродетели

Этическая мысль. 2024. Т. 24. № 1. С. 101–114.
Kudryashova V.

The article examines the methodological limitations of the application of (contemporary) virtue ethics in the field of artificial intelligence. The first limitation lies in the theoretical vagueness of “virtue ethics”, since it is only instrumentally interpreted in case of applied ethics’ issues by many researchers: for instance, they often refer only to the principle of golden mean that helps to understand the nature of virtues and to articulate them for AI. This approach is fundamentally wrong, since it selectively considers the main ideas of (contemporary) virtue ethics and uses only those that approve it. The second limitation is that in Aristotelianism and neo-Aristotelianism AI cannot be considered as a moral agent sensu stricto. In this regard, AI is a system that can only imitate the behaviour of a moral agent who is the bearer of a certain set of virtues. Despite the initial negative diagnosis, there are still two approaches in neo-Aristotelianism that can bring light to the possibility of AI ethics. Exemplarism allows us to take a different look at the role of social robots in human life: they can be seen as moral exemplars or narratives that can contribute to the moral development of their owners and change their moral portrait for the better or worse. The capability approach created by M.K. Nussbaum also focuses on the impact of AI on the quality of human life: in this context, we are highlighting what changes basic human capabilities can undergo and how the minimal level of social justice and the respect of human dignity are ensured while using AI technologies.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: искусственный интеллектэтика добродетелиcapability approachAIэтика искусственного интеллектанео-аристотелизмvirtue ethicsneo-Aristotelianismподход возможностейmoral exemplarismморальный экземпляризмethics of AI
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