Integration of artificial intelligence into the process of developing students’ digital competence

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.

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.

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.

Subject. This article considers artificial intelligence technologies (AI), their development and dissemination in various sectors of the economy. Objectives. The article aims to explore the main trends and challenges associated with the implementation of artificial intelligence technologies. Methods. For the study, we used statistical and logical analyses, as well as SWOT analysis. Results. The article defines the features of the Russian economy and industry regarding the implementation of artificial intelligence and robotics technologies. Conclusions. The results obtained can be useful to administrative bodies to develop strategies for further digital transformation.

Aim. The work aimed to study the consequences of implementing products using artificial intelligence technologies in economic security systems.Objectives. The work seeks to analyze the development directions and results of artificial intelligence technologies; to assess the capabilities (beneficial effects) of these technologies in economic security systems of organizations; to identify specific threats to economic security, associated with the use of artificial intelligence technologies in organizations; to develop recommendations for mitigating these threats.Methods. The study employed comparative and retrospective analysis, economic-statistical and index methods, as well as special methods for studying economic security, expert-analytical and system approaches.Results. It has been established that the use of artificial intelligence in economic security systems can produce a significant beneficial effect. The advantages of its use in the field under consideration are associated with the fact that in formal analysis (from the standpoint of its rate, accuracy, consistency and taking into account the maximum possible number of factors), the artificial intelligence products surpass human capabilities. This results in a gradual replacement (moreover in the future) of human intelligence with artificial intelligence in the field under consideration, at least in cases of tasks that do not require non-standard, creative solutions, based sometimes on the paradoxical nature of human thinking. At the same time, such a development of events gives rise to a number of specific threats to economic security, namely “engagement” of many products using AI technologies; the possibility of manipulating information; loss of critical thinking skills by officials; the growing importance of cyberattacks.Conclusions. The development of digital technologies, including artificial intelligence technologies, has an ambiguous impact on economic security at all levels of the economic system. Overcoming the problems identified in the study requires activities in a number of fields, namely the formation of national products using artificial intelligence technologies, within the implementation of state policy to achieve technological sovereignty; strengthening the information component of systemic measures to ensure economic security; revision of approaches to the formation of competencies of specialists in the field of economic security, who use (or can potentially use) artificial intelligence products in their activities.

Aim. To formulate approaches to institutional regulation and preventive response to risks associated with the use of artificial intelligence technologies in science and higher education organizations on the basis of compliance. Objectives. To determine the elements of compliance system aimed at reducing the risks of using artificial intelligence; to identify the trends of institutional development related to the integration of generative artificial intelligence technologies in scientific and educational and administrative and management processes. Methods. The issues of adaptation of institutional mechanisms of modern higher education to the challenges of technological development are investigated on the basis of system, risk-oriented, logical and structural approaches of scientific knowledge. The methods of analysis, synthesis and classification were applied to form the elements of compliance-system of artificial intelligence. Results. The concept of artificial intelligence compliance is designed to expand the strategy of digital transformation of higher education organizations by introducing new objects into the subject area of management, in particular, the risks of artificial intelligence technologies, as well as the development of protective, regulatory and information-management functions. Methods compliance allows to create organizational mechanisms that provide protection of higher education and science organizations from unfair behavior of subjects in the field of artificial intelligence. Artificial intelligence compliance in higher education should ensure the protection of human rights and freedoms, compliance with the rules of academic honesty and scientific integrity, assessment of the reliability of artificial intelligence systems in the educational process, protection of personal data and confidential information, copyright protection, counteraction to data falsification and cybercrime. Conclusions. Proactive management on the basis of compliance methodology will reduce the risks of implementation of artificial intelligence technologies in the activities of universities and will help to effectively adapt to the challenges of technological development.

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.

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.

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.

The development of artificial intelligence (AI) has become one of the most discussed topics in 2023. According to sociological surveys, the awareness of Russians in the field of AI and their willingness to use new technologies have grown. The leap in the development of neural networks, chatbots and AI technologies in general has already affected many areas of life, and the education system is no exception. Teachers face many challenges related to the regulation of the AI application in the educational process. On the one hand, issues of regulating the use of AI technologies in universities require a scrupulous study which is complicated by the speed of technological development. On the other hand, in addition to official regulations, it is necessary to solve more global and labor-intensive tasks: to unlock the potential of AI in the educational process; analyze the ethical side of the issue and develop the culture of using new technologies; adapt educational materials and assignments based on the possible application of AI by students; change curricula and revise the competency system, etc. The article considers ways to use AI technologies in the educational process as perceived by teachers and students. The author emphasizes both constructive and destructive capabilities of new technologies, the challenges that universities will face in the near future, and the positions of university representatives on these issues. The author believes that the use of AI technologies in education can benefit both teachers and students in sociology and other areas. It is impossible to stop the development of technologies; any attempts to hinder them are counterproductive; therefore, it is necessary to reconsider the established educational approaches according to the requirements of our time.

This article is dedicated to examining the issues of implementing artificial intelligence tools in the management processes of program expenditures of the federal budget. Based on the reviewed experience of their application in the Ministry of Finance of Russia, the Ministry of Economic Development of Russia, and the Ministry of Digital Development of Russia, it seems that the questions of using artificial intelligence in the management of program expenditures of the federal budget require a comprehensive theoretical and legal understanding. During the examination, the author conducted an analysis of the implementation of artificial intelligence technologies in the format of the Electronic Budget 2.0. As a result of the analysis, the author presents proposals for the further functioning of artificial intelligence technologies in the process of developing and executing state programs of the Russian Federation within the framework of the budget process, as well as recommendations for updating the existing regulatory legal foundations for regulating artificial intelligence in the budget process. The study applied formal legal, comparative legal, and systemic methods, as well as methods of legal modeling and analysis of law enforcement practice. The analysis utilized legal acts, program documents, and official materials from federal executive authorities, along with a generalization of departmental experience in implementing artificial intelligence technologies in the budget process. The scientific novelty of the study lies in the comprehensive theoretical and legal analysis of the use of artificial intelligence technologies in managing program expenditures of the federal budget, taking into account the specifics of the digital transformation of the budget process. For the first time, the approaches of the Ministry of Finance of the Russian Federation, the Ministry of Economic Development of the Russian Federation, and the Ministry of Digital Development, Communications and Mass Media of the Russian Federation to the implementation of artificial intelligence at various stages of managing program expenditures have been systematized and compared. It is substantiated that artificial intelligence can serve as an effective tool for reducing procedural costs in the budget process without redistributing budgetary powers and substituting the discretion of officials. The conclusion is drawn about the necessity of forming special legal regulations for the application of intelligent services in the "Electronic Budget" system, including establishing their status, requirements for transparency and verifiability of algorithms, as well as a clear delineation of responsibility between humans and AI.

The article highlights the significant impact of artificial intelligence (AI) on the transformation of the educational process in the modern world. The author conducts an in-depth analysis of the main areas of use of AI technologies in the field of education, including adaptive educational platforms, automated assessment of student knowledge, and promoting inclusion for participants in the educational process with various physical, cognitive, or social needs. The study examines examples of practical application of such solutions, in particular, the creation of individual learning trajectories that take into account the abilities, interests, and progress of each student, and automated assessment systems that provide prompt and objective feedback. The author pays special attention to the numerous advantages of integrating AI into the educational process. Among such advantages are the personalization of educational content, thanks to which students can receive knowledge at the optimal pace and format for them; increasing the accessibility of education, which helps overcome barriers for people with disabilities; as well as reducing the routine burden on teachers, who can devote more time to the creative and pedagogical aspects of their work. The article also examines in detail the challenges associated with the implementation of AI technologies in education. In particular, the emphasis is on the issues of ethical use of student data, the need to ensure the confidentiality of information and new roles of teachers in a technologically advanced learning environment. The author emphasizes the importance of transparent and inclusive algorithms that take into account the interests of all participants in the educational process, and also emphasizes the need to ensure a balance between the use of innovations and the preservation of traditional pedagogical values. A feature of this study is an interdisciplinary approach that allows combining technological, pedagogical and social aspects in studying the impact of AI on education. The article offers recommendations for a balanced implementation of AI in the educational process. Among them: the introduction of ethical control mechanisms, the active involvement of teachers and students in the development and testing of new systems, as well as ensuring access to educational technologies for all social groups. The author emphasizes the need for further research aimed at integrating AI into pedagogical practice without losing the human aspect. Such an approach will allow to fully reveal the potential of technologies, while preserving the uniqueness and importance of live interaction between teacher and student. This study is useful for a wide audience, in particular for scientists who analyze the impact of technologies on society; educators who seek to use AI more effectively in the educational process; and technology developers who create innovative solutions for education. The article demonstrates the current state of implementation of innovative technologies, identifies their advantages and disadvantages and outlines the prospects for further development in response to the dynamic needs of society in the field of education.

Artificial intelligence (AI) is increasingly being introduced into the educational process at the level of educational institutions’ management and participants of the educational process, especially considering online and hybrid learning. In the study, we consider the key issues of introducing AI into various areas of the educational process, in particular, ethical issues, the main components of the use of AI in education, analyze the experience and attitudes towards the use of AI technologies in the educational process of bachelor’s and master’s degree students, as well as recommendations, challenges, and prospects through the prism of opportunities for personalizing learning, increasing accessibility of education, automating routine tasks, and enriching the learning experience. Undoubtedly, education has traditionally been a field dominated by the human factor. With its ability to automate and analyze data, personalize learning, and other functions, the introduction of AI can potentially change this paradigm. However, realizing a clear understanding and optimal modeling of the coexistence and partnership between teachers, students, and AI in the educational space is essential. Such an analysis is a crucial component for developers of educational strategies, managers of educational institutions, and all those interested in innovative development. Solving the problem of balancing the use of AI technologies to improve the educational process and preserve its fundamental values, such as the development of critical thinking, creativity, social, emotional, and practical skills, will allow us to protect unique human values, privacy, and responsibility while taking into account the individual needs of participants of the educational process. The research actualizes the development of new pedagogical models and teaching technologies, criteria, and tools for assessing students’ knowledge, analyzing the ethical and social consequences of the widespread introduction of AI in education, its impact on the labor market in the education sector, assessing the cost-effectiveness of implementation, and ultimately supporting teachers in the context of digital transformation and the formation of digital and AI literacy in students. By promoting personalized learning and optimizing the learning process, AI is a powerful tool for transforming education. However, only responsible implementation based on ethical principles and joint efforts of educators, politicians, and professionals is key to overcoming potential challenges and preserving humanistic values in the digital age. Developing optimal models of engagement and partnership instead of prohibitions and restrictions on the use of AI will help realize the benefits and overcome the challenges, without considering it as a source of new threats. Keywords: artificial intelligence, education, interaction with AI in education.

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.

In the context of the growing use of artificial intelligence technologies, including in the field of intellectual property, civil law science is tasked with developing new conceptual approaches to the legal assessment of the results of activities related to the use of artificial intelligence technologies. The current theory of copyright does not apply to such an object as a work generated by artificial intelligence technology, since artificial intelligence itself is the result of human creative activity. The article considers the possibility of recognizing the qualities of the subject of law in robots with artificial intelligence. Approaches to understanding the work created by artificial intelligence technologies as an object of intellectual rights and its place among other objects to which intellectual rights arise are analyzed. The question of authorship of works generated by artificial intelligence technologies and subjects with intellectual rights to these results is being investigated. It is concluded that it is impossible to recognize authorship for works created by artificial intelligence technologies due to the latter›s lack of legal personality. It is proposed to amend the list of objects of intellectual rights, taking into account the possibilities of artificial intelligence technologies, to produce works in the field of science, literature, art. The lack of personal non-property rights to such works is justified. Entities that have an exclusive right to works generated by artificial intelligence technologies have been identified – technology developers. Proposals have been made to amend Russian civil law.