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List of publications on a keyword: «artificial intelligence»

  • Использование нейросетей в системе образования: преимущества и риски

    Proceeding
    Актуальные проблемы коммуникации: теория и практика
    Authors:
    Iurii A. Denisenko, Daniil F. Klimenko
    Work direction:
    Varia (принимаются материалы по другим направлениям, соответствующим теме конференции)
    Abstract:
    Over the past three years, neural networks and other artificial intelligence (AI) technologies have become one of the most discussed topics in education, from school to university. This article examines the main uses of neural networks in the educational process, analyzing their key benefits (personalization, automation of everyday tasks, expanding access to knowledge) and risks (ethical issues, substitution of independent work, digital divide, unreliable information). Based on an analysis of modern scientific and educational literature, it shows how neural networks are changing education and what conditions are necessary for their safe and effective implementation. The research methods include analysis and synthesis of scientific literature, comparison of approaches by different authors, and practical examples.
    Keywords:
    education, information security, artificial intelligence, digitalization, Neural networks, personalized learning, academic integrity

  • Влияние технологий искусственного интеллекта на социальные отношения

    Proceeding
    Актуальные проблемы коммуникации: теория и практика
    Authors:
    Ekaterina M. Fatneva, Iana D. Sidorenko
    Work direction:
    Varia (принимаются материалы по другим направлениям, соответствующим теме конференции)
    Abstract:
    In today's world, with the rapid development of artificial intelligence (AI) technologies, society is facing changes in the ways of communication, interaction, social relations, and the structure of modern society. This article analyzes the consequences of the introduction of artificial intelligence into everyday life and explores ways to improve its use. In an environment of information pollution, the introduction of artificial intelligence facilitates the acceleration and personalization of communication, expanding opportunities for interaction, but also spreads social fragmentation. The relevance of this topic lies in the need to understand both the positive and negative consequences of the introduction of AI into everyday life, as well as to find ways for society to adapt to the new realities associated with the integration of artificial intelligence into communication systems.
    Keywords:
    social adaptation, artificial intelligence, communication, digital transformation, automation, ethics, digital divide, social relations, social structures, human-machine interaction

  • Digitalization of language education of the indigenous peoples of the North: theoretical foundations, modern practice and development prospects

    Proceeding
    Education, innovation, research as a resource for community development
    Author:
    Spartak B. Lekhanov
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article is devoted to a comprehensive analysis of the processes of digitalization of language education of the indigenous peoples of the North in the context of preserving the linguistic diversity of Russia. The article considers the theoretical, regulatory, legal and methodological foundations for the introduction of digital technologies in the field of teaching native languages to the indigenous peoples of the North. Based on the analysis of the existing infrastructure (electronic dictionaries, mobile applications, educational platforms, systems using artificial intelligence), key factors for the success of digital projects are identified, critical problems and barriers to development are identified.
    Keywords:
    artificial intelligence, digitalization, mobile applications, languages of the indigenous peoples of the North, electronic language resources, language policy, language revitalization

  • MODERN TECHNOLOGIES IN EDUCATION

    Proceeding
    Education, innovation, research as a resource for community development
    Authors:
    Polina A. Riazantseva, Daria A. Riazantseva, Sofia A. Kravchenko, Шипиль Дарья Денисовна, Sofia R. Letuchaia, Alina N. Kostenko, Iurii O. Vrublevskii
    Work direction:
    Современные технологии в образовании
    Abstract:
    Annotation (in English): The article is devoted to the study of modern digital technologies that have a significant impact on the transformation of educational processes. The key areas of technology integration are considered: adaptive learning systems based on artificial intelligence, virtual and augmented reality (VR/AR) technologies, the use of big data and learning analytics, as well as the development of massive open online courses (MOOCs) and blended learning formats. Special attention is paid to the practical aspects of implementing these technologies in the higher education process and their impact on the development of students' digital competencies. An analysis of potential benefits is carried out, including increasing the level of personalization, interactivity and accessibility of education. In parallel, the main challenges are explored, such as the problem of the digital divide, cybersecurity and personal data protection, and the risk of digital fatigue. The methodological
    Keywords:
    higher education, artificial intelligence, virtual reality, digital transformation, MOOC, blended learning, Keywords (in English): digital technologies, learning analytics

  • AI Assistants as Tutors: Ethical Boundaries for Using Neural Networks to Personalize Programming Education

    Proceeding
    Education, innovation, research as a resource for community development
    Authors:
    Inna G. Iglinskaia, Anastasiia V. Petrakova
    Work direction:
    Использование нестандартных решений для повышения качества, доступности и эффективности образования
    Abstract:
    The article discusses the current problem of integrating artificial intelligence (AI), in particular, large language models (LLM), into the educational process of training specialists in the specialty 02/09/07 "Information Systems and Programming". The purpose of the study is to analyze the potential of AI assistants as personalized tutors to develop programming skills and identify the associated ethical risks and pedagogical limitations. Based on the analysis of modern literature and the author's practical experience, key dilemmas have been identified: the reliability of the generated code and explanations, the risk of intellectual dependence, issues of academic integrity and digital inequality. The article offers a model for the balanced use of AI assistants based on the principles of pedagogical support, the development of critical thinking and the formation of digital hygiene among students. It is concluded that AI is a powerful tool for improving the accessibility and effectivenes
    Keywords:
    pedagogical design, tutoring, ChatGPT, programming, AI ethics, academic integrity, Artificial intelligence in education, learning personalization, large language models (LLM), and professional education

  • Practical training of future computer science teachers in assessing students' educational outcomes using artificial intelligence

    Proceeding
    Modern educational process: psychological and pedagogical support, educational strategies
    Authors:
    Sergei A. Mavrin, Aleksandr V. Dobudko, Nikolai P. Burtsev, Dmitrii A. Petrunin
    Work direction:
    Педагогическое мастерство и профессиональное развитие
    Abstract:
    The article examines the potential of artificial intelligence in assessing the educational results of schoolchildren in computer science. It is proposed to include in the educational program for future computer science teachers the discipline "Modern models and assessment tools in computer science teaching", which will address the practical tasks of using artificial intelligence for assessment.
    Keywords:
    artificial intelligence, computer science teacher training, assessment of educational outcomes
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  • The principle of operation of recommender systems and their impact on people using YouTube as an example

    Proceeding
    Relevant issues of management, economics and economic security
    Authors:
    Mark I. Tagirov, Aleksandr A. Ushakov, Olesia V. Tereshchenko
    Work direction:
    Менеджмент и его разновидности, диверсификация, маркетинг, ценообразование и логистика
    Abstract:
    This article analyzes YouTube's recommendation system and explores its architecture, which is based on a two-stage machine learning model, taking into account the implementation of self-learning methods, and its evolution in 2025. The article focuses on identifying and systematizing the risks associated with content personalization, such as the formation of "information bubbles," the impact on user behavior, and the promotion of radical content. Recommendations for mitigating the identified negative effects on users and developers are presented, based on current scientific publications and statistics.
    Keywords:
    artificial intelligence, machine learning, personalization, algorithms, addiction, YouTube, recommender systems, information bubble, large language models
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  • The issues of developing students' motivation for learning in the works of domestic and foreign scientists

    Book Chapter
    Issues of education and psychology
    Authors:
    Meiseria G. Akhmetvalieva, Nataliia G. Veliunskaia
    Work direction:
    Глава 3
    Abstract:
    The quality of education, academic results of students directly depend on motivation for learning as one of the effective tools. The chapter is the result of theoretical analysis of studies by domestic and foreign scientists on the development of students' motivation for learning. The purpose of the study is to systematize scientific research on the phenomenon of students' motivation to gain knowledge in an educational organization. The approaches of scientists to understanding motivation for learning, various types of classifications of this phenomenon, the causes and mechanisms of its development are considered. And also the role of integrating artificial intelligence into the educational process as a modern method of increasing the level of motivation for learning in students is highlighted.
    Keywords:
    motivation, higher education, students, artificial intelligence, educational motivation, Internet technologies, motives, external motives, internal motives
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  • Methodological and technological problems of artificial intelligence imple-mentation in hygiene teaching

    Book Chapter
    Issues of education and psychology
    Authors:
    Dmitrii O. Lastkov, Anastasiia A. Gorokhova, Dmitrii V. Churkin, Aleksandr I. Klimenko
    Work direction:
    Глава 8
    Abstract:
    Some methodological issues related to the implementation of artificial intelligence (AI) in the practice of hygiene teaching at medical universities highlights in the article. The current stage is considered as an understanding of this phenomenon and preparation for the initial stages of its implementation. It is proposed that effective AI, as an assistant to the teacher, can only be developed, trained, and prepared only in condition of concrete department. Technological aspects of creating AI today are also discussed.
    Keywords:
    education, hygiene, medicine, competence-based approach, artificial intelligence (AI)
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  • Industrial ecosystems: development strategies

    Book Chapter
    Sustainable development strategies: economic, legal and social aspects
    Author:
    Aleksey Y. Pronin
    Work direction:
    Глава 5
    Abstract:
    The relevance of the study is due to the total trend towards digitalization in the Russian Federation, which covers a wide range of sectors of the national economy. The purpose of the study is to identify trends in the development of industrial ecosystems in the context of the total implementation of digital technologies and the need to ensure technological sovereignty. The theoretical and methodological basis of the study is empirical (expert assessments, study of production experience) and theoretical (system analysis, categorical analysis, comparison, generalization, decision-making) methods. The chapter discusses the main reasons for the transition to a new stage in the development of industry and the economy of the Russian Federation. The main advantages of digital industrial ecosystems are formulated. The tools that ensure the functioning of digital industrial ecosystems are described and examples of their successful implementation are given. Based on the analysis of publications of domestic scientists, strategies for the further development of digital industrial ecosystems are proposed.
    Keywords:
    artificial intelligence, industry, digitalization, digital transformation, ecosystem, digital technology, technological sovereignty, industry 4.0, development strategies, industrial ecosystem, industry 5.0
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  • Forecasting the Implementation of Artificial Intelligence in Education Based on Pedagogical Futurology

    Research Article
    Development of education Volume 8 No 3
    Authors:
    Maxim L. Grunis, Galiia I. Kirilova, Chen Yimin
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The paper discusses the necessary changes in teacher training that are in demand due to the active implementation of artificial intelligence (AI) in universities of the Russian Federation. These changes are considered on the basis of pedagogical futurology. The comparative significance of AI implementation factors in education is traced, identified for entities responsible for the effective implementation of AI systems and with different levels of readiness for the designated innovations, including: people making decisions on modernizing interactions based on AI, people implementing methodological support and implementation of AI, as well as students that are undergoing training to develop programs and technologies in the field of AI in the near and distant future. The main problems of education development in this article are considered on the basis of the analysis of the obtained experimental data on the predicted expectations and achievable results associated with the use of AI and the transition from traditional algorithms and established scenarios of binary interaction in the educational process to the possible transfer of a significant number of analytical operations and educational functions from humans to digital agents. The article proposes systemic measures for the implementation of predictive activities of subjects of the educational process based on pedagogical futurology, taking into account the expectations of the use of artificial intelligence in education.
    Keywords:
    information educational environment, subject of the educational process, implementation of artificial intelligence, pedagogical futurology
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  • Forecasting the Implementation of Artificial Intelligence in Education Based on Pedagogical Futurology

    Research Article
    Development of education Volume 8 No 3
    Authors:
    Maxim L. Grunis, Galiia I. Kirilova, Chen Yimin
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The paper discusses the necessary changes in teacher training that are in demand due to the active implementation of artificial intelligence (AI) in universities of the Russian Federation. These changes are considered on the basis of pedagogical futurology. The comparative significance of AI implementation factors in education is traced, identified for entities responsible for the effective implementation of AI systems and with different levels of readiness for the designated innovations, including: people making decisions on modernizing interactions based on AI, people implementing methodological support and implementation of AI, as well as students that are undergoing training to develop programs and technologies in the field of AI in the near and distant future. The main problems of education development in this article are considered on the basis of the analysis of the obtained experimental data on the predicted expectations and achievable results associated with the use of AI and the transition from traditional algorithms and established scenarios of binary interaction in the educational process to the possible transfer of a significant number of analytical operations and educational functions from humans to digital agents. The article proposes systemic measures for the implementation of predictive activities of subjects of the educational process based on pedagogical futurology, taking into account the expectations of the use of artificial intelligence in education.
    Keywords:
    information educational environment, subject of the educational process, implementation of artificial intelligence, pedagogical futurology
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  • Digital technologies as a tool for training competitive university graduates in the context of the transformation of the modern labor market

    Book Chapter
    Current issues of pedagogy and psychology
    Author:
    Dmitry A. Konoplyansky
    Work direction:
    Глава 2
    Abstract:
    In today's digitalized world, staffing is becoming the fundamental basis for effective transformation. Global digital transformation processes permeate all aspects of socio-economic development. A new type of specialist in demand in the labor market must meet the criteria that are formed in the context of national projects being implemented in the country – he is a creative professional who makes responsible decisions and creates a positive image not only of his profession, but also of the organization and the state as a whole. In the context of the transformation of the modern labor market, digital technologies are becoming the most important tool for training competitive university graduates. The chapter is devoted to the interpretation of the concept of «digital technologies in education», the disclosure of their essence and structural components. Digital technologies have advantages over traditional educational technologies: access to a variety of resources and tools, adaptability and personalized learning, as well as the development of digital skills needed in today's labor market. However, the introduction of digital technologies into the educational process is associated with a number of challenges, such as the need to ensure digital literacy among teachers and students, infrastructure development, and data protection. The influence of digital technologies on the formation of graduates' competitive abilities is manifested in their ability to effectively adapt to changing labor market conditions, meet employers' requirements and develop personal qualities, including critical thinking, creativity and readiness for continuous learning. The integration of digital technologies into the educational environment of a university requires a strategic approach focused on the development of a specialist's personality, the needs of the modern labor market and the requirements of potential employers.
    Keywords:
    higher education, artificial intelligence, student, virtual reality, digital technologies, educational technologies, educational environment of the university, graduate competitiveness, labor market transformation
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  • Philosophical and ethical reflection of educational technologies

    Book Chapter
    Current issues of pedagogy and psychology
    Author:
    Rakhat A. Satybaldieva
    Work direction:
    Глава 16
    Abstract:
    This chapter attempts to philosophically and ethically understand modern technologies that are rapidly transforming the education system in the digital age. The educational approach is not only a complex of instrumental methods for transferring knowledge, but also a space for the formation of values, meanings and the personality of the student. Analyzes the philosophical foundations of the concepts of «education» and «technology», as well as the ethical challenges that arise in the process of developing digital platforms, artificial intelligence and distance learning. Particular attention is paid to issues of international justice, confidentiality, alienation, as well as preserving the humanistic potential of education in a technologized environment. In conclusion, proposals are put forward for the ethical and philosophical support of educational practices and an emphasis is placed on the need to humanize digital technologies.
    Keywords:
    artificial intelligence, humanization, distance education, educational technologies, philosophy of education, digital learning, ethics of pedagogy, digital justice, medicine of the future
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  • Some problems of legal regulation of contractual relations between banks and their individual clients

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Authors:
    Irina A. Fedorova, Nikita I. Sorokoumov, Matvei A. Ryzhkov
    Work direction:
    Глава 8
    Abstract:
    The position of the strong side of banking organizations in contractual relations with individual clients often leads to various abuses by banks, which violates various rights of citizens. It appears that the revision of certain provisions of laws regulating banking activities, including contractual relations, as well as the use of artificial intelligence algorithms by individuals, may become an effective measure of protection for individual clients in contractual relations with banks.
    Keywords:
    artificial intelligence, liability, illegal actions, contractual relations between banks and individuals, bank lending, individuals, unfair behavior, banking legal relations
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  • Tools of generative artificial intelligence in teaching English for specific purposes

    Research Article
    Development of education Volume 8 No 2
    Authors:
    Anna V. Malaeva, Tatiana P. Volkova, Tatiana A. Globa
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The article is devoted to the possibilities of using generative artificial intelligence (GAI) tools in teaching English for specific purposes (ESP). The article examines innovative approaches to learning, being necessary due to the rapid development of technology and requirements of the modern labor market. It analyzes the prospects of GAI in ESP context, including a comparative description of the most popular AI tools. The authors explore the functionality, advantages, and limitations of these tools, their impact on teaching a professionally oriented foreign language. Examples of the successful application of GAI in university courses are given. The emphasis is made on the development of communication skills and the adaptation of educational materials to specific professional fields. The article discusses the results of the empirical study showing positive changes in students' learning motivation and progress. The use of GAI contributes to more effective and personalized learning, improves vocabulary, grammatical accuracy and writing skills. However, the successful implementation of GAI requires additional knowledge and training of teachers, as well as focusing on the educational context. Special attention is paid to the need for a balanced approach when using GAI in order to avoid dependence on technology and preserve the positive experience gained in the process of applying traditional teaching methods.
    Keywords:
    Generative artificial intelligence (GAI), GAI tools, English for specific purposes (ESP), professionally oriented foreign language
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  • Artificial intelligence in teaching Russian as a foreign language: opportunities and prospects

    Proceeding
    Education, innovation, research as a resource for community development
    Authors:
    Alisa E. Mozheevskaia, Mariia V. Khairullina
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article discusses modern approaches to teaching the Russian language as a foreign language using artificial intelligence (AI) technologies. This topic is relevant due to the growing importance of learning the Russian language for international students in Russia, which contributes to their professional mobility and expansion of opportunities in the international job market. The paper analyzes the potential integration of AI into the Russian as a second language (RCT) learning process, examining the benefits and limitations of this approach. It also focuses on personalizing the educational experience through the use of tools such as intelligent chatbots, automated speech processing and recognition systems, and gamified learning platforms.
    Keywords:
    artificial intelligence, Russian as a foreign language, Neural networks, personalized learning, international students, innovative technology
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  • The impact of using chatbots on learning a foreign language in a non-linguistic university

    Book Chapter
    Psychological and pedagogical issues of modern education
    Author:
    Elena G. Liakhova
    Work direction:
    Глава 7
    Abstract:
    The relevance of this study is determined by the fact that artificial intelligence and neural network chatbots are playing an increasingly important role in higher education; they often take over traditional methods of teaching a foreign language in non-linguistic universities. At the same time, the issue of the advantages of using artificial intelligence in teaching a foreign language remains open. The purpose of the chapter is to analyze the advantages and disadvantages of using neural network chatbots in the process of teaching a foreign language in comparison with traditional teaching methods. To achieve this goal, the author uses experimental teaching of English to first-year future culturologists. As a result of the study, it was found that the process of assimilation of foreign language material when teaching a foreign language using chatbots differs from the process of assimilation while teaching traditionally. Significant differences were noticed at the stages of formation of motivation, presentation of new foreign language material, comprehension and rethinking of the new lexical and grammatical material. Such phenomena as clip thinking, the Google effect, and the devaluation of students’ memory with the constant use of digital devices have a particularly strong influence on changes in the learning process. Techniques are proposed to neutralize the negative impact of neural network learning on students, when implemented, an increase in the effectiveness of teaching a foreign language using neural network chatbots is observed.
    Keywords:
    artificial intelligence, clip thinking, increasing the efficiency of teaching a foreign language in non-linguistic universities, neural network chatbots, cultural studies, mastering foreign language lexical and grammatical material
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  • Hidden threats to the digital transformation of agriculture

    Book Chapter
    Principles of building a new ecosystem: social, economic and legal aspects
    Author:
    Elena V. Shchedrina
    Work direction:
    Глава 4
    Abstract:
    The chapter is devoted to digital innovations and technologies that open up wide opportunities for agricultural production: management and monitoring of facilities in remote areas, herd management, monitoring of basic vital signs of animals, monitoring the accuracy of fertilizer application, forecasting adverse natural phenomena, maintaining distributed databases on land purchase and lease transactions, and others relevant directions. Industry 4.0 involves the active use of the latest digital technologies, tools and services in the daily activities of a modern agricultural engineer, agronomist, animal technician, veterinarian and other industry specialists. The author consider the process of active digital transformation of the agro-industrial complex industry as an inevitable way of forming a digital footprint, which can have a negative impact on the formation of the carbon footprint and the environment as a whole. Direct and indirect ways to minimize the carbon footprint by reducing the digital footprint in agricultural production are described. In conclusion, the conclusions are formulated that digital technologies contribute to improving the efficiency of modern digital agricultural production: presentation of information in various forms, automation of calculations, analysis of large amounts of data, decision support, etc. Limitations are also highlighted: uneven wireless coverage in agriculture, difficulties in maintenance and repair of robots and unmanned aerial vehicles, cybersecurity, lack of a legal framework, and a low level of digital culture.
    Keywords:
    artificial intelligence, digitalization, digital transformation, digital technologies, digital hygiene, digital footprints, smart agricultural production, digital agricultural engineer
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  • ARTIFICIAL INTELLIGENCE IN EDUCATION: DEVELOPMENT HISTORY AND FUTURE PROSPECTS

    Proceeding
    Relevant problems of modern science and education
    Author:
    Zhibek S. Begimbaeva
    Work direction:
    Инновационный опыт науки и образования в современном обществе
    Abstract:
    This article examines the evolution of artificial intelligence (AI) in the educational sector, focusing on its key developmental stages. The author explores the significant ways in which AI has transformed education by enabling personalized learning, enhancing the overall quality of education, increasing access to a variety of educational resources, and relieving educators from repetitive and time-consuming tasks. AI has proven effective in adapting to the diverse needs of students, fostering individualized learning experiences, and promoting more efficient teaching methods. However, the article also addresses important concerns, such as ethical issues, data privacy risks, and the dangers of over-automation, which could undermine the human element in education. Despite these challenges, the author argues that AI has the potential to greatly improve educational processes. It is essential, however, to ensure that AI is used as a supportive tool for teachers and students rather than a substitute, with careful consideration of its implications for the future of education.
    Keywords:
    history, development, artificial intelligence, educational technologies, history of AI development
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  • Problems and prospects of using unmanned aerial vehicles in monitoring oil and gas fields

    Proceeding
    Relevant problems of modern science and education
    Authors:
    Mansur E. Sibgatullin, Lenar R. Giliazov
    Work direction:
    Инновационный опыт науки и образования в современном обществе
    Abstract:
    The article examines the problems and prospects of using unmanned aerial vehicles for monitoring oil and gas fields, emphasizing their importance in the context of growing demand for hydrocarbons and stricter environmental standards.
    Keywords:
    artificial intelligence, unmanned aerial vehicles, environmental safety, field monitoring, oil and gas industry
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  • THE FUTURE OF TAXATION IN THE CONDITIONS OF THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

    Proceeding
    Socio–economic landscape of the region: growth investments
    Author:
    Ol'ga S. Grigorenko
    Work direction:
    Налоговое регулирование
    Abstract:
    The article examines the role of artificial intelligence in tax regulation. The advantages of using technology to improve reporting accuracy, automate routine tasks, and detect tax fraud are discussed. The risks associated with the introduction of artificial intelligence in the tax sphere are considered, including issues of information confidentiality and the need for employee training. The introduction of technology into tax regulation can significantly improve the efficiency and transparency of tax systems, but requires a careful approach to ethics and legal regulation.
    Keywords:
    improvement, artificial intelligence, optimization, support, fraud, tax regulation, tax evasion, addiction
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  • Coaching as a tool for adapting to the pace of the development of activities in the age of artificial intelligence (AI)

    Proceeding
    Coaching psychology: methodology, theory, practice
    Author:
    Kseniia I. Pirogova
    Work direction:
    Varia (we accept materials in other areas that correspond to the topic of the conference)
    Abstract:
    In recent years, we have seen the pace of development of artificial intelligence (AI) increase. AI-based tools are increasingly embedded in professional activities, and people need to adapt to these changes. We've been talking about information overload for decades, and now the environment is even more stressful. Difficulties in maintaining concentration for long periods of time, conscious action, self-organisation and self-regulation are already being experienced in adolescents. The text analyses how AI affects the pace of life, and the problems this causes. Tools for coping are offered, with a focus on coaching as a solution to current challenges. Limitations and opportunities are critically examined through cognitive psychology and research on other approaches. Alternative solutions that take into account the limitations of the tool and its impact on resilience are also mentioned. The article is aimed at a wide audience interested in the impact of AI on human adaptive capacity.
    Keywords:
    adaptation, artificial intelligence, self-regulation, metacognitive strategies, coaching, pace of life, information overload, self-organisation
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  • Prava na intellektual'nuiu sobstvennost', sozdannuiu s primeneniem iskusstvennogo intellekta

    Proceeding
    Strategies of Sustainable Development: Social, Law and External-economic Aspects
    Authors:
    Il'ia I. Eliseev, Semenov I. Evgenevich, Irina A. Fedorova
    Work direction:
    Современные тенденции развития мирового сообщества
    Abstract:
    Статья рассматривает современное состояние внедрения искусственного интеллекта (ИИ) в различных сферах жизни, акцентируя внимание на его способности генерировать содержательные объекты, которые могут подпадать под правовую защиту. Обозреваются законодательные инициативы в России и за рубежом, что позволяет понять, как концепция ИИ переосмысляется в правовом контексте. Особое внимание уделяется необходимости законодательного регулирования правоспособности ИИ и его роли в системах интеллектуальной собственности. Статья подчеркивает важность сохранения человеческого творчества в условиях роста автономности технологий ИИ.
    Keywords:
    artificial intelligence, intellectual property, generation, copyright, legal capacity, legal protection
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  • Tekhnologii mediabezopasnosti: metody protivodeistviia feik-kontentu v tsifrovykh media

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 14
    Abstract:
    Digital technologies make it possible to automate the processes of disinformation and information warfare, launch fakes promptly and on a large scale, organize information interventions to shift public attention from one information agenda to another, to conduct information and psychological operations, and to have a certain impact on the consciousness and behavior of target groups. Fakes circulate not only in pop media and propaganda channels, but also penetrate into journalism, educational content, and scientific discourse, not only as a subject of scientific research, but also as a result of falsification; the phenomenon of fake journalism and journalism that ignores the high standards and principles of the profession has emerged. In the dense flow of rapidly updating information, attentive perception is difficult, it is difficult to distinguish between truth and falsification, and to obtain reliable information about events; Society is under unprecedented pressure from digital media disinformation, undermining trust in social institutions and social communication channels. These circumstances actualize the issues of improving the methodology and tools for verifying information and recognizing fake content in online media. The purpose of the study is to analyze the signs of fake media content and improve methods of countering disinformation in the media space. Results: the goals and motives of fake creators and distributors, signs and technologies of digital content falsification are investigated, approaches to combating fakes and falsification of information in online media are analyzed, the effectiveness of various technologies for detecting fake content and countering its influence is assessed. The concept of a comprehensive system for countering fakes in the digital space is outlined. One of the conclusions of the study is that countering the influence of fake online media content is not limited to technical and regulatory solutions, since the mechanisms of this influence are socio-psychological; cognitive sciences can provide a methodology for effectively countering deception and manipulation. The study is aimed at media security specialists.
    Keywords:
    artificial intelligence, media security, Fake, deepfake, generative neural networks, neural network content detectors, methods of countering disinformation, and forensics
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