Artificial intelligence, generative artificial intelligence and research integrity: a hybrid systemic review

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.

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.

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.

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.

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.

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.

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.

An extended review on cyber vulnerabilities of AI technologies in space applications: Technological challenges and international governance of AI

The article is devoted to the study of the application of artificial intelligence technologies in law enforcement activities in Ukraine and the world. The purpose of the article is to analyze the international and domestic experience of using digital technologies in law enforcement activities, to identify the shortcomings of the legal regulation of the use of artificial intelligence in this area, to provide proposals for its improvement in Ukraine. It was found that one of the countries that is actively expanding the use of artificial intelligence and successfully introducing relevant technologies into public administration is China. The artificial intelligence system which is used in China called «Zero Trust». The purpose of using this system is to prevent the commission of corruption offenses. It is emphasized, that the disadvantage of the «Zero Trust» system is that artificial intelligence, identifying the cause of corruption, does not indicate the algorithms and principles of this process. At the same time, the experience of using artificial intelligence in the field of preventing and combating corruption in Ukraine is considered when carrying out automated verification of persons declarations of authorized to perform state and local government functions. Ways of improving legal regulation when conducting financial control of declarations using artificial intelligence technologies are proposed. It has been found that artificial intelligence is widely used in the USA to predict the prevalence and state of crime. It was emphasized that Ukraine also has experience in the application of artificial intelligence technologies in law enforcement activities. Artificial intelligence is used in the development and implementation of departmental specialized intelligent software, the implementation of operative and investigative actions (for the recognition of video objects observation by comparing images in social networks, etc). It was concluded that artificial intelligence and digital technologies help to quickly process large volumes of information in the investigation and prevention of criminal activity. Modern developments in the field of artificial intelligence and advanced digital technologies, which are implemented in foreign countries to prevent and fight crime, are of great importance for the improvement of legal regulation in this field in Ukraine.

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.

Aim/Purpose In a post-pandemic learning environment, artificial intelligence (AI) may become the new standard. More and more college students are utilizing AI tools like ChatGPT and Bard to enhance their learning. This study compares the use of web-search and AI-based systems to assess how much students' knowledge has improved in an Internet Marketing course. Background While authorship and academic integrity have received a lot of attention in higher education research thus far, using AI effectively provides several benefits for both teaching and learning. In other words, by utilizing these capabilities, AI-based systems may boost students' motivation, interest, and level of knowledge. Methodology The course will teach the students how to use the application of AI (i.e. ChatGPT). To evaluate the efficacy of AI technology, this study will conduct empirical research to compare the knowledge improvement of students who would obtain knowledge about buying sustainable production products in Taiwan between using the web-search systems and the AI-based systems. The assessments of students' knowledge growth are evaluated by using a dependent samples t-test. Contribution This finding expands on prior research examining the possibility of using AI-powered learning aids to inspire students (Al Shamsi et al., 2022; Lund et al., 2023). The ability of ChatGPT to deliver cutting-edge content, personalized feedback, and interactive learning sessions may all contribute to generating curiosity, a sense of accomplishment, and ultimately a greater desire to learn more about subjects. Findings It is anticipated that the AI chatbots created for information delivery might have something to do with students' increased interest in, motivation for, and understanding of their studies. This study examines the potential benefits to students' understanding of sustainable development goals with an AI-specific method of information provision relevant to purchasing items produced sustainably. Recommendations for Practitioners In the near run, using AI systems has been proven to boost university students' sentiments. University students may feel more supported by AI when they use it more regularly. Long-term AI use may cause reliance, especially in the absence of human companionship. Recommendations for Researchers Not all students and instructors have a lot of experiences in teaching and learning with generative AI, despite the fact that it is a relatively new technology. After generative AI is completely incorporated into classrooms, the roles of AI in teaching and learning could reconsider. Impact on Society In order to prepare students for work in a world driven by generative AI, higher education in the future needs change. With an emphasis on in-class and hands-on activities for assessment, new learning outcomes—skills in learning and teaching with AI, AI literacy—and the importance of interdisciplinarity should be highlighted. Future Research Future studies should concentrate on the following topics: interdisciplinary education, creative pedagogies and their evaluation, new assessment and its acceptability.

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 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.

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.