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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Практики использования технологии дипфейк в современных аудиовизуальных медиа: этические рестрикции

Человек. 2026. Т. 37. № 2. С. 67–82.
Yefanov A.

The article presents the practices of using deepfake technology in modern audiovisual media (television, cinema, internet) by referring to the most resonant cases. Appealing to the conducted by the author results of semi-structured expert interviews (n = 15) with media communications analysts, case study and socio-cultural modeling methods, ethical restrictions of such audiovisual solutions are established. Theoretical and methodological basic research is based on focusing the concept of professional ethics of a journalist (D.S. Avraamov) and a critical approach to the ethics of artificial intelligence (B.C. Stahl, D. Schroeder, R. Rodrigues). Based on the results of the conducted research, the author’s definition of the concept of ethical restrictions as objectified limitations arising from the contradiction of intensifying socio-cultural (including socio-technical) tendencies to moral principles is proposed at the theoretical level. At the empirical level, insufficient compliance with existing documents in the field of communications, media and journalism for regulating deepfake technology is recorded as a problem of media communications, manifesting itself as a kind of challenge, thereby determining the process of codification. In this regard, provisions containing recommendations for regulating the use of deepfake technology in audiovisual media are being proposed, which in turn could form the basis for an updated regulatory document requiring development – the Code of Ethics for Modern Media Communications. It is emphasized that the substantive content of the Code of Ethics for Modern Media Communications should be the subject of broad, multi-layered discussion by the professional and expert community – representatives of the media industry and academia. Such a model will facilitate the harmonious development of professional culture and, consequently, media culture.

Research target: Media and Communications Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: рекламаэтикакинотелевидениеискусственный интеллектadvertisingcinematelevisionethicsrestrictionsдипфейкdeepfake artificial intelligenceaudiovisual mediaаудиовизуальные медиарестрикции
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