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Смежные права на результаты интеллектуальной деятельности, созданные искусственным интеллектом: философско-правовой анализ замены критерия творчества на критерий инвестиций
Актуальные проблемы российского права. 2025. Т. 20. № 11. С. 11–18.
Pakshin P.
The paper substantiates the necessity of providing legal protection for the results of intellectual works created by artificial intelligence through the mechanism of related rights. It examines ways to reduce legal risks associated with the creation of intellectual property using artificial intelligence technologies and offers a philosophical and legal analysis of the proposed hypothesis, namely, replacing the creativity criterion with the investment criterion as the basis for protectability. According to the author’s concept, the philosophical and legal foundation for replacing the creativity criterion may be found in the extrapolation of Martin Heidegger’s category Man to artificial intelligence within the paradigm of the communicative theory of law. Artificial intelligence should not be endowed with legal personality, and the creativity criterion should be replaced by the investment criterion. Consequently, legal protection through the granting of related rights should also be extended to AIgenerated results of intellectual activity, which the author refers to as Mancreativity
Keywords: интеллектуальная собственностьискусственный интеллектправосубъектностьмашинное обучениефилософия праварезультаты интеллектуальной деятельностиintellectual rightsинтеллектуальные праваintellectual propertyneural networksphilosophy of lawresults of intellectual activityправовая природанейросетиlegal naturelegal personalityфилософские основанияphilosophical foundationsArtificial Intelligence machine learningpromptsphilosophical and legal analysisпромптыфилософско-правовой анализ
Vinogradov V., Kuznetsova D., Вестник Санкт-Петербургского университета. Серия 14. Право 2026 Т. 17 № 3 С. 796–816
Recognizing the enormous potential of artificial intelligence (hereinafter referred to as AI), many countries are striving to develop these technologies and are competing for leadership in this field. However, the development of AI technologies also entails a number of risks that must be mitigated. For a long time, the main role in regulating AI was ...
Added: October 10, 2026
Filatova Asya, Epistemology and Philosophy of Science 2026 Vol. 63 No. 3 P. 56–66
This article proposes a rethinking of the role of artificial intelli-gence in contemporary science through an analysis of HarryCollins’s concept of expertise. The point of departure is the ob-served tension between normative accounts of expertise –grounded in ideas of socialisation, tacit knowledge and member-ship in a form of life – and the empirical practices in ...
Added: October 10, 2026
Ivanov N., Закон 2026 № 9 С. 137–142
В статье анализируются новые Правила выплаты вознаграждения за служебные изобретения, служебные полезные модели и служебные промышленные образцы, вступившие в силу с 01 сентября 2026 года. ...
Added: October 8, 2026
Rozhdestvenskaya E., Abramov R., Журнал социологии и социальной антропологии 2026 Т. 29 № 3 С. 244–274
The article presents an experimental study at the intersection of social anthropology and qualitative sociology. The empirical basis is a corpus of 18 short biographical sketches of collective farm peasant women from the village of Vysheley, Penza Region, created at the end of the Soviet period by school local historians and discovered by one of the authors during a ...
Added: October 7, 2026
Rutskiy V., Aljarbouh A., Thommandru A. et al., , in: Data Science and Algorithms in Systems: Proceedings of 6th Computational Methods in Systems and Software 2022, Vol. 2Vol. 2. Book 597. Issue 1.: Cham: Springer, 2023. Ch. 81 P. 959–971.
The paper is devoted to the prospects of using artificial intelligence in the field of retail bank payments to combat financial fraud. Based on world experience and analysis of the situation in the field of digitalization and security of banking in Russia, the authors describe possible problems in the implementation of artificial intelligence technologies in ...
Added: October 7, 2026
Мухамедкаримова Д. Ф., Умуркулова М. М., Galyapina V. N. et al., Вестник Карагандинского университета. Серия Педагогика 2026 Т. 31 № 3 С. 69–77
Currently, artificial intelligence occupies a solid place among traditional pedagogical technologies and approaches, which is the subject of widespread discussion among domestic and foreign scientists and researchers. This is because the introduction of AI into higher education, despite its high potential, faces a wide range of economic, social, and ethical obstacles. These include resistance to ...
Added: October 6, 2026
Roshchina Y., Strebkov D., Roshchin S. et al., В кн.: Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS‑HSE). Вып. 16Вып. 16.: М.: Национальный исследовательский университет "Высшая школа экономики", 2026. С. 102–123.
The article examines the level of awareness, patterns of usage, and prevailing attitudes toward Artificial Intelligence (AI) in Russia. The study relies on data from an AI‑related questionnaire incorporated into the 2024 round of the Russia Longitudinal Monitoring survey – Higher School of Economics (RLMSHSE) and Google/Ipsos Multi‑Country AI Survey carried out in 2023. The ...
Added: October 5, 2026
Konstantinov A., Elizarova Anastasiya P., Utkin L., Computing, Telecommunications and Control 2026 Vol. 19 No. 1 P. 16–25
Decision trees and their ensemble extensions, such as random forests, are widely used as classification models due to their simplicity and interpretability. However, in many real-world tasks where class labels overlap in the feature space, standard decision trees rely on hard splits that create fragile decision boundaries. In these regions, small perturbations in the input ...
Added: October 2, 2026
Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89
The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...
Added: October 2, 2026
М.: ООО «Городу и миру», 2026.
Как мочили «Яблоко» и чем хороша Партия наивных дураков, кто вывел в люди советскую науку и что такое «русский ИИ». ...
Added: October 2, 2026
Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
Portnoy S., Efremov A., Voloshin A., , in: 2026 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).: Petrozavodsk: IEEE, 2026. P. 1–4.
This paper presents a deep learning-based optimization of a list-decoding algorithm for a concatenated Hamming-Reed-Solomon code transmitted over an AWGN channel with BPSK modulation. The proposed method reformulates early termination of the erasure-pattern list as a weighted regression problem, addressing class imbalance through an asymmetric Weighted Mean Squared Error (WMSE) loss function that penalizes index ...
Added: October 1, 2026
Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103
The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
Added: October 1, 2026
International Joint Conferences on Artificial Intelligence, 2026.
Added: October 1, 2026
Belousov D., Экономическое возрождение России 2026 № 2 С. 85–97
Выявление ключевых тенденций и структурных сдвигов в развитии мировой экономики, обусловленных переходом от биполярной модели к «мозаичному» миру взаимодействующих центров силы, а также определение возможных позиций и роли России в формирующейся новой архитектуре международных экономических отношений в современных условиях приобретает важное не только теоретическое, но и прикладное значение. В результате исследования зафиксирован парадоксальный феномен: в ...
Added: September 29, 2026
Ugleva A. V., Социологическое обозрение 2026 Т. 25 № 3 С. 268–293
This article undertakes a socio-philosophical analysis of a situation in which the place of the Other within the structure of subjective experience is occupied by an algorithmic agent – an entity that simulates understanding yet remains devoid of genuine subjectivity. To investigate this configuration, the author turns to psychiatric practice as a representative case study: ...
Added: September 26, 2026
Portnoy S., Efremov A., Кузьмин В. В., В кн.: Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2026): материалы XXIX Международной научной конференции. Россия, Москва, 21–27 сентября 2026 г.: М.: РУДН, 2026..
В работе рассматривается возможность улучшения помехоустойчивости каскадного кода, состоящего из внутреннего кода Хэмминга (4,3) и внешнего кода Рида — Соломона (7,5) над полем GF(8), за счёт дополнительной кор рекции ошибок на основе машинного обучения. Внешний код декодируется списочным алгоритмом с перебором стираний; рассматриваются списки дли ной 5 и 10 комбинаций. Для компенсации потерь помехоустойчивости при ...
Added: September 26, 2026