Transbaikal State University

The development of AI technologies opens new opportunities for social governance, but also gives rise to ethical dilemmas. This article examines the ambivalent impact of AI on governance transformation: from an analysis of its instrumental, teleological, and paradigmatic value to the identification of key risks – the “blurring of agency”, the “dictatorship of capital”, and “technocracy”. Particular attention is paid to algorithmic bias, privacy, and the blurring of responsibility between developers and managers. The novelty of this study lies in its systematization of AI-related ethical risks, identification of their underlying causes, and substantiation of a comprehensive concept for managing AI ethical risks that integrates technological development, legal regulation, and ethical imperatives. Key principles include human-centeredness and the harmonious coexistence of humans and AI. Practical recommendations are formulated: improving legislation, implementing ethical standards, and fostering a culture of participatory governance.

Актуальность исследования обусловлена необходимостью философского осмысления этнокультурной символики народа хэчжэ в условиях культурной трансформации и изменения экологических ценностей. Новизна работы заключается в интерпретации традиционных экологических практик через семиотическую модель, раскрывающую их культурно-регулятивную функцию. Цель исследования – выявить семиотическую структуру традиционных экологических практик и определить её культурное значение. Методологическую основу составляет сравнительно-семиотический анализ этнокультурных форм и символических систем. Установлено, что символическая организация культуры формирует устойчивые экологические ценности, способствует сохранению культурной идентичности и регулирует взаимодействие человека с природной средой. The relevance of the study is due to the need for philosophical understanding of the ethnocultural symbolism of the Hezhe people in the context of cultural transformation and environmental change.The novelty of the work lies in the interpretation of traditional environmental practices through a semiotic model, revealing their cultural and regulatory function. The purpose of the study is to identify the semiotic structure of traditional environmental practices and determine its cultural significance. The methodological basis is the comparative semiotic analysis of ethnocultural forms and symbolic systems. It is established,that the symbolic organization of culture forms sustainable environmental values, contributes to the preservation of cultural identity and regulates human interaction withthe natural environment.

The paper shows that digital sovereignty policy, formally being a “counter-movement” against the power of global corporations, in practice leads not to democratization but to the territorialization and consolidation of digital markets around national oligopolies (“national champions”). From the perspective of Ilyenkov’s philosophy, this gives rise to a new form of “infrastructural alienation”: data and social connections, as the contemporary “univer sal” are alienated in favor of a hybrid state-corporate subject, which returns them to the individual as instruments of managerial biopolitics and control. Thus, the logic of extractive capitalism is not overcome but reproduced in new institutional forms. The scientifi c novelty is in the application of E. V. Ilyenkov’s socio-philosophical concept, particularly his doctrine of the alienation of the universal, for a critical analysis of contemporary digitalization processes and the phenomenon of digital sovereignty, which reveals the depth of the transformation of social relations under platform capitalism. The analysis reveals the deadlock of both the global corporate model and the etatist model of digital sovereignty, both based on alienation. As an alternative, the article proposes a model of community sovereignty, based on the principles of digital commons, cooperative platforms, and federated proto cols. This model aims to overcome alienation through collective ownership and democratic governance of digital infrastructure and data, paving the way for a post-extractive economy and the restoration of social subjectivity.

With the expanding use of artifi cial intelligence systems in socially signifi cant areas, the need for a philo sophical analysis of not only their functional eff ectiveness but also their internal value structure is growing. Most existing approaches to the ethics of artifi cial intelligence rely on external normative constraints and regulatory principles, which prove insuffi cient given the increasing autonomy and cognitive integration of modern intelligent systems. The goal of this study is to develop a theoretical model for the meta-ethical analysis of artifi cial intelligence, allowing for the identifi cation of its moral consistency at the cognitive, value, and social levels. The study’s hypothesis is that increasing the cognitive integration of artifi cial intelligence without a comparable development of value and social components leads to systemic ethical inconsistency. The methodological basis of the study is the philosophy of information, integrated information theory, the concept of correctability, and the human over sight model. The study utilizes a comparative case study of algorithmic recommendation systems, generative models, and intelligent medical decision support systems. As a result, an interdisciplinary model of the metaeth ics of artifi cial intelligence architecture is proposed, within which the architectural morality of intelligent systems is described as a product of cognitive integration, value orientation, and social context. Based on an analysis of empirical cases, it is revealed that intelligent systems with a high level of cognitive integration and insuffi cient val ue and social coherence are characterized by increased risks of ethical failures, including increased bias, shifting responsibility, and reduced interpretability of decisions. The scientifi c novelty of this study lies in the development of a metaethical approach to the analysis of artifi cial intelligence architecture as a carrier of internal value param eters. The obtained results allow us to consider the proposed model as a conceptual basis for the ethical audit of artifi cial intelligence systems. Prospects for further research relate to the development of formalized indicators of ethical coherence, the integration of metaethical principles into engineering practices, and the development of the concept of architectural humanism.

В статье анализируется цифровая трансформация религиозной культуры Китая в условиях медиатизации, платформизации и алгоритмизации социальной коммуникации. Религиозные практики рассматриваются не только как объект технологических изменений, но и как динамическая культурная система, адаптирующая традиционные формы сакрального опыта к логике цифровой среды. Особое внимание уделяется специфике китайского контекста, в котором цифровизация религии разворачивается во взаимодействии конфуцианства, даосизма, буддизма, народных верований и государственной регуляции. Теоретико-методологическую основу исследования составляют концепции медиатизации религии, постсекулярности, культурной памяти и алгоритмической культуры. На материале работ китайских исследователей (Лю Линюй, Ян Фэнган, Чжан Сяонань, Хань Сяоцунь), а также анализа цифровых религиозных практик и платформенных форм репрезентации сакрального показано, что цифровая религиозная культура Китая носит синкретический и интегративный характер. Обосновывается положение о том, что цифровые технологии не ведут к утрате религиозной традиции, а выступают механизмом ее актуализации, культурной адаптации и воспроизводства в условиях медиатизированного общества.