유럽의 AI 거버넌스와 미디어 책임

The article discusses the essence and features of modern Internet marketing based on the use of artificial intelligence (AI) technologies. The article examines how AI can help online marketers collect and analyze consumer data, segment and personalize audiences, create and distribute effective content, optimize and automate advertising campaigns, and measure and improve marketing results. The article also analyzes the latest trends in the use of AI technologies by Ukrainian and foreign companies and identifies their advantages.The investigation identified effective AI tools in online marketing, such as chatbots, recommender systems, text generators, sentiment analysers, face and speech recognition systems, etc. The article presents a comparison of AI tools in online marketing of Ukrainian and foreign companies. Foreign companies use modern products that have no analogues in Ukraine. This is due to the popularity of the trend of using AI technologies in foreign companies. In Ukraine, this trend is developing and we can see it in the use of chatbots and CRM systems. They have been implemented by such companies as PrivatBank and Promodo. Despite this, the development of foreign companies is progressive. Previously, only large corporations could afford to use AI technologies, but now young startups are catching up with the trend. AI combined with human capabilities can actually turn business into a universal tool for profit. However, this path is not without obstacles, so the article highlights the challenges of AI that may affect the economic, legal, ethical, and social spheres of life. Scenarios for preventing possible problems allow for the effective use of AI's potential. The article suggests measures that should help society adapt to changes in the socio-economic environment associated with the displacement of humans by AI. It is important to understand the advantages and disadvantages of modern online marketing tools to ensure effective solutions to business problems.

With the rapid advancement of Artificial Intelligence (AI) technology and its pervasive integration into society, governments worldwide have introduced a range of AI-related policies. In the United States, the use of AI technology has surged significantly since 2021, driven by the emergence of generative AI and its transformative potential. In response, the U.S. Congress has proposed numerous AI-related bills, reflecting growing legislative engagement with AI governance. This study examines 204 AI-related bills introduced during the 117th and 118th Congresses (2021–2024) through computational text analysis, employing topic modeling to identify recurring legislative themes and sentiment analysis to assess congressional attitudes toward AI policies. The findings reveal distinct variations in legislative focus and tone across chambers and political parties, offering a nuanced understanding of how AI-related issues are framed within U.S. policymaking. In addition, the results highlight how AI is connected to broader opportunities and concerns, including national security, technological innovation, and public service delivery. By applying machine learning techniques to legislative texts, this research provides a systematic and scalable approach to understanding AI policymaking. The study contributes to broader discussions on the partisan and institutional dynamics shaping AI legislation in the United States, offering insights into how emerging technologies are shaped by legislative priorities, regulatory attitudes, and broader political contexts.

The current increase in the number of publications on the use of artificial intelligence (AI) technologies in neurosurgery indicates a new trend in clinical neuroscience.The aim of the study was to conduct a systematic literature review to highlight the main directions and trends in the use of AI in neurosurgery.Methods.Using the PubMed search engine, 327 original journal articles published from 1996 to July 2019 and related to the use of AI technologies in neurosurgery, were selected. The typical issues addressed by using AI were identified for each area of neurosurgery.Results.The typical AI applications within each of the five main areas of neurosurgery (neuro-oncology, functional, vascular, spinal neurosurgery, and traumatic brain injury) were defined.Conclusion.The article highlights the main areas and trends in the up-to-date AI research in neurosurgery, which might be helpful in planning new scientific projects.

In recent decades, technological progress has contributed to a consistent change in approaches to organizing the provision of medical care in various regions of the world. Electronic data-gathering systems make it possible to create extensive information databases about the health status of the population of certain territories or entire states. The introduction of technological solutions based on the use of artificial intelligence (AI) technologies makes it possible to provide a systematic analysis of large volumes of information, as well as to develop new treatment methods of life-threatening diseases. The use of AI technologies not only has significant potential for improving the organization of medical care, but also brings essential risks of human rights restriction, it may also form discriminatory practices or even cause harm to health. The authors demonstrate the importance of AI technologies in improving separate stages of medical care and the circulation of healthcare technologies, and also present various approaches to defining the notion of “artificial intelligence”, that is a crucial element in specifying the object of legal regulation. The article systematizes the list of threats and challenges to human security associated with the use of AI technologies. The development of legal regulation of this sphere at the national (United States of America) and supranational (European Union) levels is analyzed, and also the main directions of development of this field in the Russian Federation are presented.

The main focus is on studying the prospects and possibilities of using artificial intelligence technology systems in detecting, investigating and preventing crimes. Ensuring the use of artificial intelligence technologies in law enforcement activities should become an urgent task of forensic science. The use of artificial intelligence technologies to predict crimes or illegal behavior of certain individuals, detect a possible criminal, as well as the use of these technologies for forensic purposes are considered promising areas of research. The article reflects the idea that it is impossible to ensure a positive result from the use of digital technologies in forensic activities only through the formulation of theoretical provisions and scientific discussions, despite the lack of large-scale and significant results of applied research in this area. Promising use of artificial intelligence and digital technologies in forensic and law enforcement practice will achieve higher results.

This article examines the role of the World Trade Organization’s (WTO) Agreement on Technical Barriers to Trade (TBT Agreement) in addressing the regulatory challenges arising from the proliferation of artificial intelligence (AI) regulations. The objective is to assess how the TBT Agreement can facilitate international cooperation, enhance transparency, and mitigate regulatory fragmentation in the context of a “multilayered AI governance”. The methodology consists of a doctrinal analysis of the TBT Agreement’s provisions – particularly those related to transparency, notification, and the use of international standards – supplemented by case studies of recent AI regulatory measures, such as the European Union (EU)’s AI Act, and their treatment within the WTO system. The article also draws on WTO jurisprudence and empirical data on notifications and Specific Trade Concerns (STCs) to evaluate the practical application of the TBT framework to AI-related measures. The analysis demonstrates that the TBT Agreement’s mechanisms – especially the notification process and the encouragement of the use of international standards – are increasingly relevant for AI regulation. The TBT Committee has emerged as a unique forum for the preemptive discussion and peer review of national AI regulations, enabling Members to identify and address potential trade concerns before they escalate. In conclusion, the article argues that the TBT Agreement provides valuable tools for improving AI governance and reducing regulatory fragmentation, but also underscores the need for further reforms to ensure its continued effectiveness in the context of emerging digital technologies.

Background The fast-paced acceptance of artificial intelligence (AI) technologies in various sectors of society, such as health, the judiciary, and education, has had several socio-ethical, legal, and human rights consequences. While AI technologies allow for more efficiency and specialization in decision-making processes, the use of such technologies in very sensitive spheres of social life brings with it great potential dangers, such as bias, discrimination, and violation of privacy. Methods The analysis was performed using Biblioshiny, which is the web interface of the Bibliometric R-package and VOSviewer, to ascertain trends in publication rates, citation impact, keyword development, concentration of journals, institutional affiliations, and inter-country contributions. A co-word and cluster analysis was also performed to show the current dominant and emerging themes of the literature and the thematic evolution from 2018 to 2025. The (theo–context–characteristics–methodology TCCM () framework was applied to analyze the theoretical, contextual, characteristic, and methodological gaps in the literature. Results Most of the heavier hits and influential research are found in only a small number of journals and institutions, mainly located in the United States, United Kingdom, and Australia. There is a predominance of the themes of AI ethics, governance, and data protection. New themes, such as AI governance and algorithmic accountability, have become apparent in recent years. Conclusions This study contributes to the research in the area in that it provides a comprehensive overview of the developments in AI ethics and human rights and also notes the major gaps in this area. A future agenda for research using the TCCM framework is presented, whereby a call is made for the integration of formal ethical theories into the sphere, a move to empirical methodologies, and enhancement of the geographic and sectoral spread of research.

The relevance of the paper is due to the fact that the use of artificial intelligence (AI) technologies in education is determined by global trends in the digitalization of the learning process and the need to adapt educational systems to contemporary challenges. Foreign experience in implementing AI demonstrates significant potential for personalizing learning, automating assessment, and analyzing data on the performance of participants in the educational process. Studying successful practices from other countries can reveal effective methods for integrating innovative technologies into the learning process. The purpose of the present article is to examine the current state of the use of artificial intelligence technologies in the educational processes of various countries around the world. The methodology of the research is based on the general scientific and special methods of cognition such us analysis, synthesis, logical method, monitoring, and the method of visualization of the research results. The conclusions. The global experience of applying artificial intelligence in education demonstrates significant potential for these technologies to personalize learning, enhance the effectiveness of the educational process, and expand opportunities for both higher education students and educators. Foreign experience shows that various countries are already actively using AI-based innovative solutions to enhance the effectiveness and quality of education. At the same time, the implementation of AI in education is accompanied by certain challenges and risks that must be considered and addressed at both national and international levels. However, given the rapid growth of investments and innovations in this field, it can be expected that AI will become an integral part of the education of the future, transforming the learning process and opening new horizons for the development of human potential. The scientific novelty of the research. A comparative analysis of the implementation of artificial intelligence technologies in the educational process of different countries, including China, the USA, the United Kingdom, and Japan, has been conducted. Key features of AI integration in the field of education and its impact on learning personalization, process automation, and the improvement of educational outcomes have been presented. The practical significance of the article. The research results can be used to develop strategic approaches for the implementation of artificial intelligence in Ukrainian higher education institutions. The proposed recommendations will enable educators to effectively integrate innovative technologies to enhance the quality of education and improve student learning outcomes through personalized learning and the automation of routine tasks.

Over the last few years, artificial intelligence (AI) technologies have become embedded in various domains of social life, prompting legislative efforts at both national and international levels. In the European Union (EU), this drive for legislation has been reflected in various legal instruments, notably the proposed AI Act, which is expected to become a global standard through the “Brussels Effect.” This Article argues that while the AI Act will likely produce a Brussels Effect of its own, such an outcome will be accompanied by a side effect that undermines the EU’s ambition to spread legislative text and values in AI governance. Since the AI Act follows EU product safety legislation, its provisions supply limited protection to some of the values the EU policy intends to protect, such as the protection of fundamental rights. These shortcomings are compounded by the EU’s active efforts to shape alternative instruments, such as the Council of Europe’s proposed convention on AI along the lines of the AI Act. As a result, the diffusion of the AI Act as a global standard will have consequences for the EU policy agenda on AI and the conceptualization of the Brussels Effect.

Currently, the development of technologies affects all spheres of society. Artificial intelligence technologies are intensively developing and are beginning to be actively used to solve various problems both at the everyday and at the scientific level. Accordingly, there are discussions in the pedagogical circle about the possibilities of using artificial intelligence to solve educational tasks: from finding educational material, translating educational material into another language, creating a curriculum, computer presentation for an educational session, creating a computer program or project to communication in another language with an IA-assistant (Artificial Intelligence). That is, a scientific and pedagogical worker can delegate the performance of certain tasks to artificial intelligence technologies (but with further verification of the completed tasks by artificial intelligence technologies) and reduce his time for preparing for educational classes. Increasingly, scientists emphasize the possibility of using artificial intelligence technologies in the educational process and the need to train scientific and pedagogical workers to use artificial intelligence. Accordingly, the purpose of the article was to analyze the concept of "artificial intelligence" and describe existing scientific approaches to the use of artificial intelligence in the educational process. The methodology of the research was the analysis of the concept of "artificial intelligence" by both Ukrainian and foreign scientists, analysis of scientific approaches, explanation, comparison and systematization of directions, advantages, disadvantages of using artificial intelligence in education. The definition of the concept of "artificial intelligence" by both Ukrainian and foreign scientists is presented. We defined the concept of "artificial intelligence" as an information technology that ensures the performance of certain complex intellectual tasks. Examples of artificial intelligence technologies that can be used in the educational process include: Anima, Grammarly, CENTURY, IntelliMetric, API DeepL, OpenArt, GodeRabbit, etc. The areas of use of artificial intelligence in education are described and highlighted: individualized training, intelligent training systems, automated assessment, group training. The advantages and disadvantages of using artificial intelligence in the educational process are characterized. The results of the study emphasize the importance of studying and using artificial intelligence in the educational process, because this technology is developing rapidly, has prospects for further active development and is used in various spheres of human activity: scientific, medical, military, pedagogical, industrial, household, etc.

Artificial intelligence technologies have transformed the education sector and require the introduction of new teaching and learning practices, the development of artificial intelligence courses, and educational research. The aim of the study is to analyse regulatory documents in the context of introducing artificial intelligence technologies into the educational process and to determine the trajectory of preparing students for the use of artificial intelligence technologies. The article analyses current approaches to integrating artificial intelligence technologies into the educational process of higher education institutions and their impact on the development of digital competence among students. The challenges, opportunities and risks of using artificial intelligence technologies in education are identified, and international and Ukrainian regulatory documents governing the introduction of artificial intelligence are outlined, in particular the UNESCO framework, the European Commission’s ethical recommendations on the use of artificial intelligence for educators, the European Strategy for Artificial Intelligence in Science, and the Concept of Artificial Intelligence approved in Ukraine. The need to create a regulatory and ethical framework for the implementation of artificial intelligence technologies in educational institutions is emphasised. Based on an analysis of regulatory documents and best practices, a conceptual technology for integrating artificial intelligence technologies into the educational process has been developed, which includes target, technological, content-methodological, ethical, and performance-evaluation components. The trajectory of training students to use artificial intelligence technologies in their professional activities and the experience of introducing the academic discipline ‘Artificial Intelligence Technologies’ are presented. The necessity of forming in students a conscious, safe and responsible use of artificial intelligence tools, the development of critical thinking and the development of strategies for educational institutions in the context of using artificial intelligence technologies is substantiated. The study showed that the use of artificial intelligence contributes to the high-quality organisation of the educational process, the improvement of teaching methods, and the development of future-oriented critical thinking skills in students.

As generative artificial intelligence (AI) technologies—such as ChatGPT, DALL·E, and other large language and image models—become increasingly mainstream, they introduce new ethical, legal, and governance challenges that are particularly urgent in developing countries. Nigeria, Africa’s most populous nation and a regional technology hub, offers a compelling case study of how these technologies are being adopted in environments with minimal regulatory infrastructure and limited public awareness. This paper examines the ethical and societal implications of generative AI in Nigeria and interrogates the country's preparedness to manage these risks. Despite the creation of the National Centre for Artificial Intelligence and Robotics (NCAIR) in 2020 and the recent passage of legislation such as the Nigeria Data Protection Act (2023) and the Startup Act (2022), Nigeria lacks a unified national AI formal risk classification systems, or sector-specific ethical guidelines. These gaps are important given the widespread, unregulated use of generative AI tools in education, politics, and digital commerce. In higher education, students increasingly rely on generative AI for assignments and projects, raising concerns about academic integrity in a system already strained by infrastructural deficits. Meanwhile, in the political domain, deepfake videos and AI-generated misinformation have circulated in election periods, threatening democratic stability in a media world prone to disinformation and weak content regulation. The paper compares Nigeria’s regulatory trajectory with global trends, particularly the European Union’s Artificial Intelligence Act and similar initiatives in Kenya, South Africa, and Rwanda. It highlights how Nigeria’s reactive approach to AI governance contrasts sharply with more proactive global models. Sectoral analysis reveals risks including digital labour displacement, cultural misrepresentation through foreign-trained models, algorithmic bias, and the erosion of public trust. Ultimately, the study calls attention to Nigeria’s urgent need for a comprehensive, context-sensitive AI ethics and governance framework. Through an analysis grounded in local realities and informed by global comparisons, the paper contributes to broader conversations about equitable, responsible AI adoption in the Global South.

Artificial intelligence (AI) is revolutionizing the fashion industry through increased operational efficiency and the promotion of sustainable innovation. One important topic that this research aims to answer is how fashion companies may effectively use AI technologies to optimize lean production processes while addressing environmental challenges. This study will look at how AI can be applied to lean manufacturing and sustainability to better understand how it may alter corporate management practices in the US fashion industry. This study is significant because it can provide insight into how AI may advance efficiency and sustainability, two aspects that are critical to the future competitiveness of the industry. The lack of comprehensive frameworks that systematically integrate AI into the current manufacturing processes used in the apparel sector is the main emphasis of this study. Fashion firms must adjust to technology developments to stay relevant in a market that is changing quickly due to changing consumer preferences and heightened environmental scrutiny, which is why this study is significant. The scope of this study includes an analysis of AI's contribution to sustainable innovation and lean manufacturing, offering a comprehensive perspective of the effects of the industry. The study aims to explore how artificial intelligence (AI) may improve operational efficiency and encourage sustainable practices in the fashion sector in the United States. A substantial research gap concerning the use of AI technology in lean manufacturing frameworks designed especially for fashion companies is identified by this study. The methodology used involves a qualitative study of secondary data, with an emphasis on industry reports and case studies that provide light on contemporary issues and practices. Important discoveries show that artificial intelligence (AI) technologies greatly enhance demand forecasting, streamline production processes, and enable customized consumer experiences, all of which contribute to lower waste and more operational efficiency. To ensure successful implementation, however, issues including staff displacement and change resistance must be resolved. Best practices for utilizing AI in fashion management are highlighted in this paper, which offers insightful information to practitioners and scholars alike. In summary, this study offers a solid basis for further research into the revolutionary potential of AI, even while it recognizes limitations regarding the generalizability of findings across various fashion sector areas. Longitudinal research evaluating the long-term effects of AI adoption and consumer attitudes toward AI-driven personalization are potential avenues for future investigation. Furthermore, legislative suggestions can emphasize encouraging cooperation between digital companies and fashion labels to enable successful AI integration. This abstract summarizes the main findings of the study and lays the groundwork for a more thorough investigation of how AI may influence business management in the US fashion sector going forward.

The article explores the prospects for the legal regulation of the application of artificial intelligence in the justice system of Ukraine. The study begins with an analysis of the Concept for the Development of Artificial Intelligence in Ukraine, approved by the Order of the Cabinet of Ministers of Ukraine dated 2 December 2020. It also explores the new provisions of the Code of Judicial Ethics, as amended by the Decision of the Congress of Judges as of 18 September 2024, regarding the use of artificial intelligence technologies by judges. The article notes the absence of a special law on the legal regulation of artificial intelligence in Ukraine. Reference is made to the ‘White Paper on Artificial Intelligence Regulation in Ukraine: Vision of the Ministry of Digital Transformation of Ukraine’ (version for consultation, June 2024), which provides for two stages in the introduction of artificial intelligence regulation in Ukraine: stage 1 (preparatory) and stage 2 (adoption of a law analogous to the EU Regulation on Artificial Intelligence, the Artificial Intelligence Act). The article also refers to sectoral recommendations developed for the use of artificial intelligence in various fields, in particular, “Recommendations on the Responsible Use of Artificial Intelligence for Lawyers”, “Recommendations on the Responsible Use of Artificial Intelligence by Public Servants”, “Recommendations on the Responsible Use of AI: Intellectual Property Rights Issues”, “Recommendations on the Responsible Development of Systems Using Artificial Intelligence Technologies”, “Recommendations on the Responsible Implementation and Use of Artificial Intelligence Technologies in Higher Education Institutions”, “Instructional and Methodological Recommendations on the Introduction and Use of Artificial Intelligence Technologies in General Secondary Education Institutions”, “Recommendations on the Responsible Use of Artificial Intelligence in the Field of Advertisement and Marketing Communications”, “Recommendations on the Responsible Use of Artificial Intelligence in the Media”. The provisions of the Concept of the UJICS, approved by Order No. 178 of the State Judicial Administration of Ukraine dated 30 April 2025, regarding the use of artificial intelligence in the functioning of the UJICS (Unified Judicial Information and Communication System) subsystems, are analyzed in detail. The importance of developing and adopting the recommendations (guidelines) or a model regulation on the use of artificial intelligence in the Ukrainian justice system, particularly in courts, is emphasized. The prospects and necessity of developing and adopting a special law on the regulation of artificial intelligence in Ukraine, analogous to the EU Regulation on Artificial Intelligence (the Artificial Intelligence Act), is noted. Such a law should, among other things, include provisions on the use of artificial intelligence in the justice system. In addition, the importance of guiding, in particular by the provisions of the General Data Protection Regulation when developing provisions of Ukrainian legislation on the use of artificial intelligence in Ukraine’s justice system is noted. It is concluded in the article that the effective implementation of artificial intelligence in the justice system of Ukraine should be based on an appropriate regulatory framework that takes into account both the opportunities and risks associated with the use of artificial intelligence.

In an era where artificial intelligence (AI) technology is increasingly penetrating various aspects of life, including education, it is important to understand its impact on students' social relationships. These changes raise questions about how interactions between students and teachers are affected by AI Technology. This research aims to investigate the impact or artificial intelligence on students' social relationships in an educational environment. The focus is on understanding changes in interactions between students, student-teacher interaction, as well as broader implications for social dynamics inside the classroom and outside the classroom. The research method used is a literature review which uses data collections sources that are relevant to this research, which can be in books, megazines and other print media, or can be obtained from photos and videos. The research results show that artificial intelligence technology has a complex impact on students' social relationships. Although it can improve efficiency and learning outcomes, AI technology can also reduce social inequality, and create excessive dependence on technology. Educators and policymakers need to carefully consider the use of AI technology in education to ensure that positive impacts are maximized, while negative impacts are minimized.