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ВЗАИМОДЕЙСТВИЕ ГОСУДАРСТВА И БИЗНЕСА В ОБЛАСТИ РАЗВИТИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Бизнес. Общество. Власть. 2025. № 3 (57). С. 129–143.
Алексеев М. Ю., Гребенюк Е. А., Лукашевич А. И., Николаев П. В., Холодная М. А.
This article examines the models of government–business interaction in the advancement of artificial intelligence in the United States, China, and Russia. The analysis demonstrates that the U.S. venture-grant model, China’s state-corporate model, and Russia’s cross-sector model facilitate AI deployment in different ways, each with distinct advantages and limitations. The findings clarify how national AI strategies can be optimized.
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
Shaposhnikov S., Asia and Africa today 2025
Digital transformation of small and medium enterprises (SMEs) in India is critical to enhancing competitiveness and improving economic performance. It also helps address unemployment and regional inequality. However, SMEs face financial constraints, a digital skills shortage, resistance to change, and cybersecurity challenges. The authors analyze the impact of government initiatives such as Digital India, CGTMSE, ...
Added: August 14, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 P. 1–16
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
Medovnikov D., Розмирович С. Д., В кн.: Очерки по экономике: учебное пособие для вузов.: СПб.: Издательство Санкт-Петербургского государственного университета, 2026. С. 407–415.
Учебное пособие «Очерки по экономике» формирует стратегическое экономическое мышление, соединяя исторические сюжеты, классические теории и примеры из современности. Авторы показывают, как в разное время — от эпохи дарообмена до появления цифровых валют — определенные идеи, институты и культурные реалии оказывают преобразующее влияние на те или иные рынки.
Книга дает студентам инструментарий для критического анализа, прогнозирования и ...
Added: August 11, 2026
Альпидовская М. Л., Bessonov V. A., Medovnikov D. et al., СПб.: Издательство Санкт-Петербургского государственного университета, 2026.
Учебное пособие «Очерки по экономике» формирует стратегическое экономическое мышление, соединяя исторические сюжеты, классические теории и примеры из современности. Авторы показывают, как в разное время — от эпохи дарообмена до появления цифровых валют — определенные идеи, институты и культурные реалии оказывают преобразующее влияние на те или иные рынки.
Книга дает студентам инструментарий для критического анализа, прогнозирования и ...
Added: August 11, 2026
Баширов М. Ф., Тютюнник Н. О., Бизнес. Общество. Власть 2025 № 2 (56) С. 127–137
The article is devoted to the study of the current vector of development of digital career guidance implemented in Russian school education, considering the Strategic Direction in the field of digital transformation of education until 2030, as well as to the study of the question of the possibilities of using digital career guidance services in ...
Added: August 11, 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., Юго-Восточная Азия: актуальные проблемы развития 2026 Т. 1 № 1(70) С. 22–36
The article aims to specify possibilities and system constraints of cooperation between the Association of Southeast Asian Nations (ASEAN) and the Russian Federation (RF) in the digital field, as well as assess its most promising directions. The nature and specifics of ASEAN’s policy in the digital field from the perspective of implementation of its initiatives ...
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., Степанов С. К., 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
Лобоцкий М. Ю., Komarov M. M., Zaramenskikh E., Бизнес-информатика 2026 Т. 20 № 2 С. 7–21
By early 2026, AI agents ceased to be experimental tools and began to be considered as a form of business process automation. Based on the analysis of in-depth interviews, an expert session, a quantitative survey of Russian companies, and sources reflecting Russian and foreign experience in the deployment of AI agents, a fivelevel maturity model ...
Added: July 24, 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
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2026 Т. 65 № 2 С. 100–111
Society increasingly relies on generative artificial intelligence models, which are used in many areas and have become an integral part of the lives of various social groups. The exponential growth of data, however, cannot meet the ever-growing demand for training artificial intelligence models. A relatively new way to overcome the shortage of training data is ...
Added: July 2, 2026
Selskiy A., Snegirev A., Колбин Е. И. et al., В кн.: Цифровая клиентоцентричность. Как современные технологии помогают компаниям и государству сделать шаг навстречу потребителям.: М.: ИСИЭЗ ВШЭ, 2026. Гл. 2 С. 71–142.
The second chapter of the monograph analyzes the current megatrends of customer centricity, shaped by digital technologies and transforming the approaches of companies and government bodies to customer and citizen engagement. Based on semantic big data analysis (using the iFORA system) and expert interviews, the authors identify four key megatrends.
The first megatrend, proactive engagement and personalization, describes ...
Added: June 26, 2026
Snegirev A., Selskiy A., Кубанцева Е. В. et al., В кн.: Цифровая клиентоцентричность. Как современные технологии помогают компаниям и государству сделать шаг навстречу потребителям.: М.: ИСИЭЗ ВШЭ, 2026. Гл. 1 С. 21–69.
Added: June 26, 2026