Artificial intelligence technologies and compassion in healthcare: A systematic scoping review.

BackgroundAs artificial intelligence (AI) technology permeates health care settings, nurse leaders must position themselves to shape its development, implementation, and impact, guiding meaningful change that benefits nurses and care delivery. Nurse leaders possess the capacity to influence decisions, shape practice, and ensure the delivery of ethical, safe, and high-quality care. While AI technology is reshaping many aspects of health care delivery, there is limited knowledge on how nurse leaders perceive and experience this shift.ObjectiveThis scoping review aimed to explore the intersection of nursing leadership and AI technology in health care by mapping current evidence, identifying key concepts, and highlighting knowledge gaps within the literature.MethodsThis scoping review was guided by the Joanna Briggs Institute methodology and reported on using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. A systematic search of 4 electronic databases (CINAHL [EBSCO Information Services], Ovid MEDLINE [Wolters Kluwer], PsycINFO [American Psychological Association], and Scopus [Elsevier]) was conducted for English-language, peer-reviewed literature published between 2014 and 2025. Gray literature was also reviewed. Articles were included if they met the inclusion criteria by exploring the population of nurse leaders and the concept of AI technology within the context of health care settings and were published in English from May 2014 forward. A total of 26 articles were included in the analysis. Qualitative content analysis and numerical summary supported the inductive identification and synthesis of data categories.ResultsOf the 26 articles included, 8 were empirical (qualitative, quantitative, or mixed methods), and 18 were conceptual or theoretical articles. Although 1 article was Canadian, there were no empirical studies conducted by Canadian researchers. The qualitative content analysis of the primary search findings revealed 6 overarching data categories: (1) leading digital transformation and technology integration, (2) AI technology and the nursing role: reshaping practice, (3) ethical considerations of AI technology for nurse leaders, (4) AI technology as a facilitator of innovative leadership, (5) education and training on AI technology in nursing practice, and (6) influence of AI technology on the work environment.ConclusionsThis review confirms that nurse leaders play an essential role in shaping the future of health care in the context of AI technology. Although this review highlights a growing recognition of nursing leadership as a crucial driver of AI technology integration in health care, there is a lack of research to guide practice, policy, and leadership development through education, despite emerging interest and a recent increase in empirical work. The findings accentuate the need for increased investment in nurse-led research and leadership development to ensure that AI systems are designed, implemented, and evaluated in a manner that upholds ethical care, equity, and professional nursing values. As health care systems increasingly adopt AI technology, nurse leaders must be equipped with the knowledge, tools, and support required to lead transformative change and act as AI technology directors.

The article highlights the role of social assessment of technology (TA) as a new tool of science and technology policy aimed at finding means for social management of technologies. Development of new information technologies, in particular, AI technologies, has become a subject of research of scientists from various fields, including specialists in TA. In article it is indicated that active implementation of artificial intelligence (AI), robotics and machine learning technologies over recent years not only provide additional opportunities for business, governments and people, while transforming social, professional, cultural sphere of society, but also generate significant concerns and risks of social inequality, transformation of labor market, growth of income differentiation, security threats, etc. The article highlights the risks and concerns of using AI technologies and possible approaches for their prevention and overcoming in Ukraine and the world. It is discussed the activity of international organizations on development of standards, focused on social and ethical consequences of Al introduction. Specialized types of impact assessment of AI technologies, such as human rights impact assessment and algorithmic assessment, which are reflected in activities of offices and organizations on technology assessment, are analyzed. It is identified the need for development of international standards and creation of ethics code in the field.

The article examines the primary risks associated with the application of artificial intelligence (AI) technologies and legal measures to minimize these risks. It establishes that the use of AI technologies in the political sphere presents both potential for improved efficiency in governance and significant risks. The absence of human morality in artificial intelligence is emphasized, leading to ethical concerns regarding AI application, data privacy issues, the creation and spread of misinformation (for example, deepfakes), AI-driven discrimination, and unequal access to AI technologies. While a “strong AI” with cognitive abilities closely matching humans does not currently exist, recent trends suggest that society, governments, and even developers may not always foresee the negative consequences of emerging technologies. Therefore, proactive regulation is crucial to address key risks associated with the implementation of AI technologies. Proposed legal measures to minimize these risks include creating and enforcing new legal norms, establishing governmental and independent expert bodies to oversee AI and AI ethics, educating citizens (especially officials working with AI) on necessary skills and ethical considertations, and prioritizing transparency and openness in the application of these technologies. The article also emphasizes the need to consider international experience and develop international ethical and legal norms to reduce the risks associated with the proliferation AI technologies.

Technology based on artificial intelligence (AI) is a revolutionary force that is changing economies, civilizations, and industries all over the world. AI, which has its roots in computer science and cognitive psychology, is a wide range of tools and methods designed to make robots capable of doing activities that have historically required human intellect. This abstract examines the many facets of artificial intelligence (AI) technology, including its fundamentals, uses, difficulties, and ramifications. Artificial Intelligence (AI) technology comprises several subfields such as robotics, computer vision, natural language processing, machine learning, and expert systems. Particularly, machine learning techniques have propelled incredible progress by allowing computers to learn from data and make judgments or predictions without the need for explicit programming. Natural language processing allows machines to comprehend, interpret, and produce human language, hence facilitating human-computer interaction. Machines can now see, analyze, and interpret visual data from the real world thanks to computer vision technology. Applications of AI technology may be found in a wide range of industries, including manufacturing, healthcare, finance, transportation, agriculture, education, and entertainment. AI-powered solutions help in drug discovery, medical imaging analysis, diagnosis, and customized therapy in the healthcare industry. AI algorithms are used in finance to power automated trading, fraud detection, risk assessment, and customer support. AI makes it possible for transportation to include predictive maintenance, traffic management, and driverless cars. Artificial Intelligence enhances supply chain management, quality assurance, and production processes in manufacturing. AI technology has the potential to revolutionize many industries, but it also comes with dangers and problems. These include privacy concerns, security hazards, ethical dilemmas, issues with prejudice and fairness, and effects on society and employment. Responsible AI methods, legal frameworks, multidisciplinary cooperation, and ethical standards are all necessary to meet these issues. Future prospects for AI technology development include the ability to solve challenging issues, spur creativity, increase productivity, and improve quality of life. But to fully utilize AI, one must take a comprehensive strategy that strikes a balance between the advancement of technology and ethical issues, human values, and social well-being. In summary, artificial intelligence (AI) technology is at the vanguard of innovation, presenting never-before-seen possibilities to transform whole sectors, spur economic expansion, and tackle global issues. AI has the ability to usher in a future of greater human-machine collaboration, innovation, and wealth through the promotion of collaboration, transparency, and ethical stewardship. the Ranking of the Artificial Intelligence using the TOPSIS Method . Interpretable Models is got the first rank whereas is the Ethical AI is having the Lowest rank. Keywords: Explainable AI (XAI), Interpretable Models, Ethical AI ,Responsible AI, Robustness and Adversarial Defense, Continual Learning, Federated Learning, Human-Centric AI, AI Governance and Policy

In times of rapid development of digital technologies and active implementation of artificial intelligence (AI) technologies in the educational environment, teachers and lecturers face the need for continuous professional development. The relevance of this study lies in the transformation of educational standards, the emergence of new teaching methods, as well as growing requirements for digital competencies of education specialists. The aim of the work is to analyze the impact of modern technologies, especially artificial intelligence technologies on education, as well as to identify key factors that contribute to and hinder the professional development and growth of teachers. The article considers the main directions of implementation of artificial intelligence technologies in the learning process, including personalized education, automation of routine tasks and expansion of interactive technologies in the educational process. Particular attention is paid to the need to develop teachers' competencies in working with digital technologies and tools, as well as the adaptation of educational strategies to the new realities of digitalized education. Separately, the importance of life-long learning is emphasized using informal education resources (online courses, professional communities, independent study of technologies through the study of scientific literature). This study also reveals factors that limit the professional development of teachers: high workload, lack of digital literacy, time, resources and lack of support from the management of the educational institution. The scientific novelty of the work lies in the analysis of the problems of teachers' adaptation to the digital transformation of education, taking into account the features of modern technologies and difficulties. The results of this study can be used in the development of programs for advanced training of teachers in schools, colleges and higher education institutions, as well as in the development and improvement of educational policies aimed at supporting teachers in the context of technological change.

The article analyzes the legal aspects of the use of combat artificial intelligence technologies, foreign experience in the use of artificial intelligence technologies in combat and counter-terrorism operations. The article is devoted to the analysis of the implementation of artificial intelligence technologies in military affairs. The growing importance of combat artificial intelligence technologies has an impact on the modern geopolitical and foreign economic situation. The use of combat artificial intelligence by the armed forces of the state is becoming a key factor in ensuring the security and survival of the state. This emphasizes the need for legal regulation of the use of combat artificial intelligence technologies in modern conditions. The article examines historical and modern examples of the use of artificial intelligence in the armed forces of various countries, such as the USA, China and Russia, as well as the experience of implementing various software that allows autonomous control of combat equipment, identifying targets and making decisions without human participation. Automation and intellectualization of weapons systems are changing the nature of warfare, creating new challenges for humanity and the legal systems of various states. Significant funds are allocated for the development and implementation of combat artificial intelligence technologies by various countries of the world. Despite the rapid development of technologies, legal regulation of their use remains at a low level, which creates potential risks of legal regulation of the use of combat artificial intelligence. The article reveals the issue of the legal personality of artificial intelligence and the need to adopt special legislation to eliminate legal gaps and resolve the issue of legal liability for actions committed by artificial intelligence during military operations. In this article, the authors focus on the importance of introducing artificial intelligence technologies into various types of weapons as a factor capable of changing the outcome of military operations, and also emphasize the need to develop legal norms to manage the risks associated with the adoption of independent decisions by artificial intelligence

Technologies based on artificial intelligence are increasingly replacing and augmenting humans in managerial tasks such as decision-making. Modern artificial intelligence (AI) technologies are capable of performing cognitive functions previously associated only with the human mind. According to the company’s resource concept (RBV), people’s cognitive abilities are a source of non-copyable competitive advantages because they are difficult to simulate, so AI technologies can change the sources of competitive advantages. This study aims to identify the factors that influence the decision of industrial companies to adopt artificial intelligence technologies, as well as to examine the relationship between the adoption of AI technologies with the effects of replacing and/or complementing the cognitive abilities of employees and their impact on the formation of a competitive advantage. The study was conducted on the database of 147 industrial companies, empirically estimating the occurrence of the substitution effect during the introduction of AI technologies. The complementarity effect was estimated using two models: a random effect probit model with random effects (random effect probit) and a fixed effect logit model with fixed effects (fixed effect logit). This made it possible to assess the intra-firm dynamics of resource changes during the implementation of AI technologies in the business process - that is, to trace the effect of resource substitution during the implementation of AI. The results showed that: (1) The decision to invest in AI technologies depends on factors such as the availability of skills to implement AI, the cost of implementing new technologies and the level of current costs in the company as a whole, the expectation of financial and economic impact. (2) The decision to invest in AI is significantly more prevalent among companies that are currently waiting to implement it. The benefits of such investment are manifold. Firstly, it allows for a reduction in the time taken to complete operations. Secondly, it enables a reduction in the number of employees required, due to a reduction in the volume of routine operations. Thirdly, it allows for a reduction in the cost of personnel management. Finally, it facilitates a greater speed of development and promotion of new products. (3) The introduction of AI has the greatest impact on the formation of non-copied competitive advantages, particularly in the following areas: marketing and analytics, development and IT, sales and customer service and the development of new products. (4) The introduction of AI gives rise to both a substitution effect and a complementarity effect, which together result in a shift in the sources of competitive advantages. While the replacement of traditional, domain-specific human cognitive capabilities with numerous computing capabilities of AI leads to the destruction of existing advantages, the complementarity of human and machine capabilities allows for the creation of new, permanent non-copied advantages. The company’s resource concept is augmented, and it is shown that heterogeneous unrelated resources, such as human capital and machinery, can also serve as a source of distinctive competitive advantages.

Goal: The goal of this research is to provide an overview of the application of artificial intelligence (AI) technologies in national libraries across Europe, with a focus on the use of machine learning for (semi)automated classification and indexing, digital humanities projects, and innovative methods for the preservation and presentation of cultural heritage. The study aims to encourage interest among the professional and academic librarian communities in the possibilities offered by these technologies. Design/methodology/approach: This research employs a descriptive method to present the application of AI technologies in national libraries. Comparative, analytical, and synthetic methods were used to inductively develop theoretical frameworks related to the subject of the research. Examples were analyzed from the practices of national libraries in Finland, Sweden, Norway, Germany, Spain, France, Netherlands, Scotland, Luxembourg and Great Britain. Results: Findings of the research indicate that national libraries are utilizing AI technologies for automated classification, indexing, language model development, and digital humanities projects. National libraries in Finland and Germany are leading in the implementation of machine learning for automatic classification and subject indexing, while projects like the British Library’s “Living with Machines” showcase innovative AI applications in researching cultural change. Discussion: The implementation of AI technologies in national libraries has numerous advantages; their AI labs provide a platform for the development and testing of new technologies, while language models they develop enable deeper and richer interaction with collections. Digital humanities projects demonstrate how AI can aid in the preservation and exploration of cultural heritage, but they require an interdisciplinary approach and collaboration among various experts. Originality/value: This research is among the first to examine the application of AI technologies in national libraries across Europe, offering a comprehensive overview of the current state and providing a foundation for future research in this field. The study demonstrates how AI technologies can transform the operations of national libraries and enhance the preservation and accessibility of cultural heritage.

Pedagogical Conditions for Applying AI Technologies in the Mastery of Musical-Psychological Disciplines by Students from China. The article examines the challenges faced by Chinese graduate students in studying the “Musical-Psychological Anthropology” course at a Russian university and proposes a pedagogical model for integrating artificial intelligence (AI) technologies to overcome language and terminological barriers. A pedagogical experiment involving 32 students from the PRC was analyzed, with two surveys conducted before and after the implementation of AI technologies in the learning process. The study identified positive changes -improved understanding of specialized terminology, deeper mastery of course content, and increased confidence in academic activities - as well as potential negative effects related to emerging dependence on AI assistants. Based on the results, pedagogical conditions for the effective use of AI are formulated: development of bilingual educational materials, use of intelligent translators and chatbots under teacher supervision, fostering students' skills in independent work with AI, and preventing their excessive dependence. It is concluded that if these conditions are met, AI technologies can serve as an effective tool to enhance the quality of mastering musical-psychological disciplines by foreign students, complementing traditional teaching methods.

Using Artificial Intelligence (AI) in engineering and construction projects promises greater efficiency, design optimisation, and enhanced risk management, but it also raises pressing ethical questions surrounding governance, trust, and human-centered design (HCD). This multidisciplinary review critically evaluates the current state of responsible AI deployment in the built environment. Employing a systematic thematic synthesis methodology, the study organises the literature into three core domains: governance structures (e.g., regulatory frameworks and institutional oversight), trust mechanisms (e.g., transparency, explainability, stakeholder engagement), and HCD practices (e.g., participatory design and usability testing). Findings reveal fragmented approaches across these domains and tensions between rapid technical innovation and ethical imperatives. The synthesis highlights that ethical AI in construction requires context-specific governance, structured trust-building mechanisms, and user-value-driven design processes. Based on these insights, the article proposes an integrative framework for policymakers, engineering firms, and AI tool developers, and outlines a future research agenda emphasising real-world fieldwork, participatory pilots, and cross-jurisdictional policy studies. Ultimately, the review underscores the importance of embedding ethics across the AI lifecycle to ensure socially responsible, human-centred transformation in engineering and construction.

At present, comprehensive research on the implementation of artificial intelligence technologies is of particular relevance. The article is devoted to the implementation of artificial intelligence technologies in the field of education. The perspective directions of using artificial intelligence in the sphere of higher and general education are considered and analyzed. The article actualizes the problem of implementing artificial intelligence technologies in teaching students and schoolchildren. The purpose of the article is to reveal the specifics of the use of artificial intelligence technologies in the field of education. The study is theoretical in nature and includes an analysis of the possibilities of using artificial intelligence technologies at different levels of education. The program of the discipline “Artificial Intelligence Technologies”, developed in the areas of Teacher education training at the Novosibirsk State Pedagogical University, is presented. The possibilities of studying artificial intelligence technologies using the Python language in a school computer science course are considered, which will allow you to move to a new level of learning programming both in schools and in higher education.

Artificial intelligence (AI) has potential in promoting and supporting self-management in patients with chronic conditions. However, the development and application of current AI technologies to meet patients' needs and improve their performance in chronic condition self-management tasks remain poorly understood. It is crucial to gather comprehensive information to guide the development and selection of effective AI solutions tailored for self-management in patients with chronic conditions. This scoping review aimed to provide a comprehensive overview of AI applications for chronic condition self-management based on 3 essential self-management tasks, medical, behavioral, and emotional self-management, and to identify the current developmental stages and knowledge gaps of AI applications for chronic condition self-management. A literature review was conducted for studies published in English between January 2011 and October 2024. In total, 4 databases, including PubMed, Web of Science, CINAHL, and PsycINFO, were searched using combined terms related to self-management and AI. The inclusion criteria included studies focused on the adult population with any type of chronic condition and AI technologies supporting self-management. This review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Of the 1873 articles retrieved from the search, 66 (3.5%) were eligible and included in this review. The most studied chronic condition was diabetes (20/66, 30%). Regarding self-management tasks, most studies aimed to support medical (45/66, 68%) or behavioral self-management (27/66, 41%), and fewer studies focused on emotional self-management (14/66, 21%). Conversational AI (21/66, 32%) and multiple machine learning algorithms (16/66, 24%) were the most used AI technologies. However, most AI technologies remained in the algorithm development (25/66, 38%) or early feasibility testing stages (25/66, 38%). A variety of AI technologies have been developed and applied in chronic condition self-management, primarily for medication, symptoms, and lifestyle self-management. Fewer AI technologies were developed for emotional self-management tasks, and most AIs remained in the early developmental stages. More research is needed to generate evidence for integrating AI into chronic condition self-management to obtain optimal health outcomes.

В современных условиях технологии искусственного интеллекта активно разрабатывают и используют по всему миру. Ускоренное развитие технологий искусственного интеллекта на протяжении последних лет предполагает обратить внимание на проблемы внедрения систем искусственного интеллекта в систему государственного и муниципального управления в России. Эффективность российского государственного и муниципального управления зависит от результативности деятельности государственных и муниципальных органов власти, от ресурсоемкости принимаемых ими управленческих решений. В настоящее время совершенствование российской системы государственного и муниципального управления осуществляется на фоне разработки и внедрения технологий искусственного интеллекта. Цель настоящей публикации состоит в определении требований к организационно-экономическому механизму внедрения технологий искусственного интеллекта в России. Для достижения цели решаются задачи определения востребованности технологий искусственного интеллекта в России, выделения проблем внедрения информационно-коммуникационных технологий в систему государственного управления. Методологической базой исследования являются системный, эмпирический подходы. В качестве теоретикометодологической основы исследования выступили работы отечественных и зарубежных авторов в области искусственного интеллекта, внедрения информационнокоммуникационных технологий в систему государственного управления. Результатом проведенных исследования является определение требований к организационноэкономическому механизму внедрения технологий искусственного интеллекта и предложенная теоретическая модель организационно-экономического механизма внедрения технологий искусственного интеллекта в России.

Ensuring a comfortable and safe environment for the elderly is becoming an increasingly relevant task in the context of global population aging. Architectural design for elderly care homes in China is a critical aspect that affects the quality of their lives, health, safety, and happiness. Due to the specific needs of the elderly, designing such homes requires a higher level of professionalism and consideration of numerous factors, distinguishing it from traditional architectural design. Existing methods often fail to fully meet these specific needs, necessitating the search for new approaches and technological solutions. The key challenge lies in finding effective solutions to create an architectural environment that meets the complex and diverse needs of the elderly, ensuring their safety, comfort, and high quality of life. The integration of artificial intelligence (AI) technologies has the potential to significantly enhance the functionality and adaptability of such environments, requiring thorough research and practical implementation. This study aims to explore and analyze the auxiliary application of artificial intelligence technology in the architectural design of elderly care homes in China. The work focuses on identifying opportunities to improve the functionality and adaptability of living spaces for the elderly through the integration of AI technologies. Specifically, the study examines the impact of AI on enhancing safety, personalizing the living experience, managing health, and creating a comfortable psychological environment for the residents of elderly care homes. The implementation of artificial intelligence technologies in the architectural design of environments for elderly care homes can significantly increase their intelligence and better meet the needs of elderly individuals. Such environments, developed with the help of AI, can greatly enhance the efficiency and effectiveness of services provided in elderly care homes, making the care process more humane and refined. In the future, with the further advancement of AI technologies, the design of architectural environments for elderly care homes will become even more intelligent and sophisticated, providing safer, more comfortable, and more convenient living conditions for the elderly.

The aim of this study is to determine the readiness of instructors at non-linguistic universities to use artificial intelligence (AI) technologies in the foreign language training of students. To identify the key factors influencing the readiness of faculty to integrate AI tools into their professional activities, an analysis was conducted of the works of contemporary researchers on issues of informatization of education and the problems of using artificial intelligence in the linguodidactic process of higher education. The study of the peculiarities of perception and use of artificial intelligence tools in the foreign language training of university students was carried out through a survey of employees of the Department of Foreign Languages of Peter the Great St. Petersburg Polytechnic University (32 people). The scientific novelty of the study lies in the fact that the authors were able not only to study the current state of the problem of teachers’ readiness to use AI tools in their professional activities, but also to formulate recommendations for the successful implementation of artificial intelligence technologies in the educational process of the university. As a result, the collected quantitative and qualitative data allowed for a more holistic understanding of how university instructors perceive artificial intelligence technologies and use them in organizing foreign language instruction at the university, and the resulting suggestions and comments formed the basis of the practical recommendations presented in the work.