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Artificial Intelligence and Media Communications in Russia
Ch. 9. P. 135–149.
Lebedev O. B., Левченко Д. Д., Черкасов Р. И., Инженерный вестник Дона 2026 № 2(134) Статья 7
This article analyzes the impact of artificial intelligence (AI) and machine learning technologies on the development and transformation of cyberthreats and the creation of highly effective cyberdefense systems. Key trends in AI evolution are discussed, including data-, model-, application-, and human-centric approaches, and their role in shaping both defensive and offensive capabilities. It is shown ...
Added: September 12, 2026
Филатова А. А., Эпистемология и философия науки 2026 Т. 63 № 2 С. 154–171
intelligence (hereafter, AI), particularly in the form of large lan guage models, has prompted a renewed wave of philosophical debates concerning the semantic competences of technical sys tems and the criteria for evaluating the outputs they generate, especially textual outputs. This article examines a set of central problem areas and their treatment in contemporary philosophical ...
Added: September 10, 2026
Faul B., Эпистемология и философия науки 2026 Т. 63 № 2 С. 41–50
In the article “Knowledge in the Digital Age: The Redundancy of Romanticism”, a critical analysis is offered of Konstantin Ocheretyany’s argumentation as presented in his essay “Epistemic Nihilism and Existential Romanticism: Knowledge in the Digital Age”. Two scenarios proposed by the author – techno-pessimistic and techno-optimistic – are examined, and it is shown that the ...
Added: September 9, 2026
Poddiakov A., В кн.: Что такое Свобода? Свобода воли, свободы личности, конституционная модель и законодательное регулирование.: М.: Новые печатные технологии, 2025. С. 90–101.
Свобода воли обсуждается в контексте философии, психологии, нейронаук и развития технологий. В заключение ставятся проблемные вопросы.
Физические миры с различными возможностями свободы воли?
(1) Если наш физический мир не является лучшим для существования свободы воли, то как насчет других?Пусть свободы воли в нашем мире, и правда, нет. Возможны ли другие физические миры, делающие возможной свободу воли? Могут ли ...
Added: September 6, 2026
Бровкина Н. Е., Терновская Е. П., Мешкова Е. И. et al., В кн.: Банк в современной экономикеКн. Банк в современной экономике.: М.: КноРус, 2026. С. 127–147.
Banks are the central link in the national financial market and the economy as a whole. The share of bank assets in the asset structure of the Russian financial market, despite a slight decline, remains dominant relative to other participants, reaching 80%.
Russian banks are multifaceted. On the one hand, they provide working capital financing, long-term ...
Added: September 3, 2026
A. Yu. Borkina, Russian Japanology Review 2026 Vol. 9 No. 1 P. 30–48
The article examines the novel by Japanese writer Qudan Rie Tokyo Sympathy Tower, which was awarded the prestigious Akutagawa Literary Prize in 2024. The award sparked a wide discussion due to the writer’s use of generative artificial intelligence in her work, which not only suggested some ideas, but also became the prototype for one of ...
Added: September 2, 2026
Shchennikova I., Закон 2026 № 8 С. 84–93
Digital twin technology is widely used in various sectors of the economy, modeling subjects and objects based on data about them and the environment surrounding them. In the broadest sense, the goal of a digital twin is to solve a problem including the problem of studying of the modeled subject or object and ensuring its ...
Added: August 28, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 No. 2326 Article 20250103
The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation to fuse heterogeneous data and diverse knowledge. The framework facilitates structured reasoning and hypothesis generation through a task-adaptable, five-stage cycle: representation, reasoning, ...
Added: August 13, 2026
Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 1 No. 1(70) P. 153–163
The article aims to specify the degree of success Cambodia has been able to achieve in developing its Artificial Intelligence (AI) ecosystem seen through the prism of the state of the country’s non-digital assets as an outcome of its economic modernization, as well as of its digital projects and initiatives. Outlining the specifics of Cambodia’s ...
Added: July 30, 2026
Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 2 No. 2(71) P. 11–22
The author focuses on a strengthening digital component in the evolution of the South China Sea issue in the context of ASEAN’s evolving approach to the deepening contradictions and its policy in the digital field. On outlining ASEAN’s policy on the South China Sea issue, the author proceeds to exploring the digital agenda of ASEAN’s ...
Added: July 30, 2026
Иноземцев М. И., Stepanov S., Закон 2026 № 7 С. 193–203
In 2022, the European Commission introduced a draft directive on liability for harm caused through the use of artificial intelligence systems. The hallmark of the proposal lies in its decision to retain a fault-based liability regime, even when harm arises in connection with the deployment of AI technologies. The draft further includes several procedural mechanisms ...
Added: July 27, 2026
Klementiev A., Kasatkina A., Legal Issues in the Digital Age 2026 Vol. 7 No. 2 P. 40–60
The article examines specific aspects of artificial (machine) intelligence in dispute resolution in state and arbitration courts . Drawing on legal research methods and data from artificial intelligence science, the authors propose a significant obstacle to its application in the legal sphere is the so-called “hallucination problem,” i .e ., the generation of false data by machine intelligence programs ...
Added: July 14, 2026
Stoyanova O., Окусков И. С., Бизнес-информатика 2026 Т. 20 № 2 С. 81–93
The integration of artificial intelligence (AI) into information technologies is reshaping competency requirements for IT specialists. However, AI competency penetration into the early phases of the Software Development Life Cycle (SDLC) – requirements analysis and planning – remains underexplored. Existing studies either rely on static competency models lacking empirical validation or analyze the labor market ...
Added: July 5, 2026