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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
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.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
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.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
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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Автоматизация и искусственный интеллект в трудовых практиках

Журнал исследований социальной политики. 2022. Т. 20. № 3. С. 433–444.
Sidorina T., Glebov O., Sidelnikov I.

The labour paradigm is undergoing cardinal changes in the current conditions. Among the main factors of the ongoing changes, the authors of the article single out large-scale automation of labour and the introduction of artificial intelligence, leading to the replacement of classical labour with intangible labour. The review compares different approaches to the evolution of attitudes towards work in the digital age. The rejection of traditional labour values and labour culture, declared by modern social theorists, is opposed to the possibilities of non-material labour, self-creation, 'out-of-the-box thinking' in their search for new foundations and meanings of human existence. The theoretical basis of the article is a layer of works, which is usually attributed to the interdisciplinary direction of the humanities and social sciences – 'philosophy of labour.' The authors rely both on the fundamental works of the classics of the concept of a working society and on modern social theorists, futurologists, researchers of culture and the political process.
Answering the question of what a person will do under a large-scale replacement of human labour with the labour of machines, the authors conclude that the ambivalent nature of the processes in the world of work will be created. This issue acquires particular urgency and demand for solutions in the field of social policy under the crisis of capitalism and the global epidemic situation, which are entering a state of convergence at the turn of the 2020s.
 

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: искусственный интеллектавтоматизацияфилософия трудаartificial intelligencecontemporary cultureпоследствия пандемииpandemic consequencesthe crisis of capitalismкризис капитализмаphilosophy of labour
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