ARTIFICIAL INTELLIGENCE, PROBLEMS AND PROSPECTS

Artificial intelligence (AI) is a relatively new medical resource with the potential to revolutionize current practices in the prevention and treatment of disease. AI has been defined as computer programs accomplishing tasks traditionally associated with human intelligence such as learning and solving problems. As the ethical benefits of increased efficiency and productivity of AI systems are being realized, the consequences of implementing such transformative technologies has raised ethical and regulatory questions across the globe. AI represents a tool to address longstanding issues in healthcare delivery and can achieve a caliber of healthcare quality that was previously beyond our grasp. However, AI systems may incorporate and often amplify existing patterns of practice, including societal biases and inequitable healthcare practices. Surmounting these ethical and regulatory challenges represents the next frontier in the successful implementation of AI to promote human development and wellbeing. In this study, we examined the current literature and analyzed the scope of practice around the ethical and regulatory issues surrounding AI in medicine and its application to healthcare. Knowledge integration was performed across disciplines relevant to the potential role for AI in facilitating progress, innovation, and quality assurance in healthcare. Thematic analysis was conducted on qualitative data pertaining to both ethical and regulatory challenges concerning the implementation of AI into healthcare practices. The project provided exposure to the innovative field of AI and various strategies related to ethical issues, regulatory laws, quality improvement, and healthcare management. We explored both the reliability and current limitations of AI in order to create best practices guidelines designed to facilitate the successful incorporation of AI into healthcare fields. Ethical challenges of AI such as risk management, data security, and a lack of transparency span all sectors working to implement these new technologies. All medical disciplines working to leverage the potential applications of AI struggle with the ethical challenges of informed consent, autonomy, accountability, biases, and equitable healthcare delivery. The field of laboratory medicine and pathology was a pioneer in the implementation of AI technology. Laboratory medicine and pathology face additional hurdles when ensuring accurate interpretation of results such as unequal contexts, opportunity costs, and low levels of acceptable risk and uncertainty. Rather than an all-or-nothing approach, we suggest a stepwise, transparent, and patient-centered approach with clear boundaries to the incorporation of new tools. The AI-assisted era of medical care will be transformative but will never be void of all risk or ethical challenges. This work represents the first of many steps in using AI technology to optimize healthcare delivery in a way that protects and strengthens the ethical values of medical care.

The article is devoted to the research and analysis of the possibilities and benefits of the integration of artificial intelligence (AI) into the educational process of students specializing in agricultural engineering. The advantages of using AI in the educational sphere and its potential to improve the quality of education and training of future specialists are considered. In particular, attention is focused on improving students' analytical skills through the analysis of large volumes of data, optimization of agricultural processes with the help of machine learning systems, and the development of their innovative skills. Artificial intelligence - attributes of smart systems that perform innovative functions, traditionally considered a human prerogative; the science and technology of creating intelligent machines, especially intelligent computer programs. Artificial intelligence is concerned with the task of using computers to understand human intelligence, but it is not necessarily limited to biologically feasible methods. The fields of application of modern intelligent systems are very narrow. For example, a program that can beat people at chess and cannot answer questions, etc. The impact of AI integration on improving student success in education and preparation for the challenges of the modern agricultural sector has been studied. The conclusions of the article indicate the importance of the implementation of artificial intelligence technologies for increasing the efficiency of the educational process and training qualified personnel in the field of agricultural engineering. In addition, the article examines specific examples of the application of artificial intelligence in the educational process of agricultural engineering students, such as systems for analyzing soil and weather conditions, autonomous robots for watering and caring for crops, as well as software tools for predicting yields. Special attention is paid to the practical aspects of the implementation of AI technologies in the educational process, such as teaching methods and assessment of students' educational achievements. The article also examines potential challenges and obstacles that may arise when integrating artificial intelligence into the education of agricultural engineers, such as the availability of technology, the preparation of teachers and students to use AI, and the ethical aspects of using algorithms and data for educational purposes.

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.

The subject of the study is the managerial, organizational, economic, and strategic aspects of the digital transformation of oil and gas companies in the context of the development and implementation of artificial intelligence technologies. The focus is on the processes of forming and implementing key pathways of digital transformation, including technological solutions, organizational and managerial changes, business process transformation, and the integration of digital initiatives into the strategic management system. The research aims to analyze the mechanisms of utilizing artificial intelligence technologies to support managerial decisions, as well as to identify the relationships between the level of digital maturity of companies, the quality of management, and the sustainability of their development. Special attention is given to the systematic nature of digital transformation and to the conditions under which the implementation of intelligent technologies ensures a sustainable economic and managerial effect in the oil and gas industry. The methodological framework of the research consists of systemic and structural-logical approaches, methods of analysis and synthesis, as well as comparative analysis of practices in digitization and implementation of artificial intelligence technologies in oil and gas companies. The scientific novelty of the research lies in the development and justification of a comprehensive approach to analyze the digital transformation of oil and gas companies under the conditions of developing artificial intelligence technologies. Unlike existing studies, which predominantly emphasize the technological aspects of implementing digital solutions, this work considers digital transformation as a multi-level managerial process. A systematization of the pathways of digital transformation is proposed, including technological, organizational-managerial, business process, and strategic levels, as well as revealing their interconnections and complementary nature. Special attention is given to the role of artificial intelligence as a tool for supporting managerial decisions and as a factor in transforming strategic management mechanisms. The research concludes that the effectiveness of digital transformation in oil and gas companies is determined not by the scale of the implementation of individual digital technologies but by the degree of their integration into the management system and strategic development. It has been established that the application of artificial intelligence technologies requires simultaneous changes in organizational structure, managerial processes, and business models. It has been proven that only the comprehensive and coordinated implementation of all pathways of digital transformation allows for increased manageability, adaptability, and sustainability of oil and gas companies in conditions of high technological and market uncertainty.

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.

The purpose of the article is to examine innovative artificial intelligence technologies that allow for the independent creation of artistic images. The research methods are based on a systematic approach to studying the problem of application and implementation of artificial intelligence technologies in artistic practices. The scientific novelty of the obtained results lies in actualizing the problem of using artificial intelligence technologies in the sphere of culture and art, and in establishing the symbiosis of artificial intelligence technologies in artistic practices. The use of machines to create works of art is rapidly gaining popularity, and the transition to practical implementation is underway. Today, it is possible to train artificial intelligence in artistic practices. This applies to simplifying the process of creating samples for the general public and applying it to restoration, renovation, and fundamentally new ways and opportunities for professional artists and designers. Artificial intelligence is used in the arts to create works of art, analyze and interpret art, and interact with viewers. Conclusions. The ways of using artificial intelligence in artistic practice have been analyzed. By analyzing examples of the use of this technology in the visual arts, the basic principles of working with artificial intelligence have been identified. The existing methods of working with images using artificial intelligence and some platforms and programs that allow creating visualizations using artificial intelligence are considered. Some advantages and disadvantages of using artificial intelligence tools in the arts have been highlighted. In particular, the benefits include new opportunities, automation, speed and accuracy, and a wide range of possibilities. Among the disadvantages of using artificial intelligence tools in art are the lack of individuality, uncertainty of results, and the inability of art to interact with the viewer. It has been stated that artificial intelligence and the artist are co-authors in the field of art.

Novel artificial intelligence (AI) is increasingly being used as a clinical decision support tool in healthcare. Despite AI's growing use and improved quality in clinical decision-making, questions persist about potential harms and the lack of transparency in their algorithms. Implementation of AI technologies in healthcare must align with local norms and ethical standards if the purported benefits are to be achieved in specific contexts. Using choice-based conjoint analysis, we examined how Singaporeans evaluate different principles related to AI decision-making in healthcare. Six attributes were included: decision type, severity, explainability, quality, responsibility, and discrimination. Among 596 respondents, 51% reported fear that AI would unintentionally harm humans, while 87% feared increased surveillance. Responsibility had the highest relative importance (31.5%) for AI use in healthcare, followed by explainability (27.7%) and discrimination (15.9%). The most valued attribute levels were AI recommendations being as explainable as doctors', doctors retaining responsibility for treatment decisions, and AI systems being tested for discrimination. Our respondents showed higher levels of trust, hope, and fear toward AI, with a stronger preference for explainability over doctor responsibility. While having AI outperform doctors in generating clinical suggestions is desirable, principles such as explainability, human oversight, and fairness are more important for the people whose lives AI will impact.

The research explores the main problems associated with the development and implementation of artificial intelligence technologies in human activities, as well as with the humanization of these technologies. In a broad sense, artificial intelligence is a set of algorithms and software systems that can solve some problems the way a person would do and differ in that they are amenable to learning. An analysis of the problems of introducing artificial intelligence technologies makes it possible to substantiate the main levers of state policy aimed at the development and integrated use of digital intelligent systems. The success of the introduction and dissemination of artificial intelligence technologies largely depends on the effectiveness of state regulation of this sphere, both at the state and supranational levels. The development of machine learning systems must necessarily include an ethical aspect and some restrictions, otherwise the rapid development of intelligent machines can lead to the collapse of human civilization. To avoid such a development of events, it is necessary to create a supranational system for regulating artificial intelligence. Thus, the object of study of this article is the use of artificial intelligence systems in various fields of human activity. The authors use content analysis, systemic, adaptive and synergistic methods. In addition, the authors apply modern statistics, empirical generalization and grouping.

The penetration of Artificial Intelligence (AI) in media industries globally has transformed traditional journalism practices, reshaping content creation, distribution, and audience engagement strategies. As news organizations worldwide increasingly adopt AI technologies, from automated reporting to predictive analytics, local media outlets face unique challenges and opportunities in implementing these innovations. Using a qualitative methodology, this study investigates the adoption and implementation of AI technologies in Bandarlampung’s leading media organizations: Radar Lampung, Lampost, and Tribun Lampung. The primary goal is to examine how these local media outlets use AI technology to enhance data-driven decision making, operational efficiency, and content personalization. Through in-depth interviews with prominent media figures, firsthand observation of AI deployment, and document analysis, the research provides insights into the current state of AI adoption in local journalism. The study’s findings indicate that while AI use in these Bandar Lampung media outlets is still in its early stages, it shows promising growth, particularly in reader sentiment analysis, content recommendation systems, and basic content production automation. Tribun Lampung, as part of a larger network, demonstrates more advanced AI implementation, while Radar Lampung and Lampost are in various stages of early adoption. The research identifies the primary challenge as the lack of human resources with AI knowledge and experience in integrating these systems with existing infrastructure. This study offers valuable insights into the possibilities and challenges of integrating AI into local media operations. Practical implications include the necessity for media workers to develop AI literacy and for business models to adapt to technological innovations. The research also emphasizes the importance of collaboration between academics, tech developers, and the media sector in advancing Bandarlampung’s AI ecosystem, particularly for regional news organizations navigating the digital transformation landscape.

The article explores the issue of the possible use of artificial intelligence (AI) algorithms in the field of game development. The increasing complexity of video games (game mechanics, diverse plots, game environments) necessitates the effective use of the latest AI technologies for game development. The aim of the work is to investigate the possibility of using algorithms in game development and gameplay. The hypothesis of the study is that the use of AI in game development (GameDev) can lead to a reduction in development costs. AI can be used to generate game environment landscape textures that adapt to the actions of real characters. Dialogues of background non-player characters (NPCs) and sound effects can be generated using AI. AI can generate NPCs whose behavior can change depending on the actions of real players. This creates an exciting gaming experience for players. This approach can reduce the cost and duration of production and positively affect the diversity of the gameplay. The article reviews and systematizes AI algorithms that can be used in game development, provides examples, and discusses the specifics and advantages of their use. For this purpose, a research methodology was used that combined the analysis of literary sources and conducting research based on information about the implementation of AI in GameDev. AI algorithms have great potential for effective implementation in GameDev, because their implementation helps to diversify the gameplay, provides a unique gaming experience for each player. The player receives significant freedom of action, various possible dynamically changing scenarios and dialogues with NPCs. AI can not only respond to the player's actions, but also change the environment to make the gameplay interesting and exciting for the player, regardless of the level of his progress in the game. The implementation of AI technologies in GameDev mostly shows good efficiency, but they require high qualifications of developers and consideration of risks in the process of its implementation.

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.

Practical wireless sensor network (WSN) demands cutting-edge artificial intelligence (AI) technology like deep learning (DL), which is the subset of AI paradigm to impart intelligence to end devices or nodes. Innovation of AI in WSN aids the enhanced connected world of internet of things (IoT). AI is an evolving area of intelligent learning methodologies by computers via machine learning algorithms (MLA). This chapter entirely deals with the implementation of AI technologies in the areas of advanced machine learning, language recognition using natural language processing (NLP), and image recognition through live example of machine learning. MLA are constructed to predict optimized output by giving training dataset inputs. In image recognition, an outcome model utilizing the existing reference model to predict DL-based AI prediction. Complex DL AI services is achieved by Bluemix sole power-driven Watson studio and Watson Assistant Service. Application programming interface keys are designated to connect Watson and Node Red Starter (NRS) to provide the web interface.

Artificial intelligence (AI) has disrupted human resource management (HRM) and, in particular, performance management systems (PMSs). Using AI for PMS can allow data analytics, machine learning, and automation to create objective, transparent, and efficient means of performance evaluation. As is well known, the IT industry shows a faster pace of adopting new technologies, quickly investing in the automation of performance management tools to optimize workforce productivity while simplifying appraisal tools. On the other hand, acceptance and effectiveness of these AI systems significantly depend on the perception of employees on the same. This research intends to comprehend the perception of IT professionals of Chennai towards AIenabled performance management systems, in terms of trust, satisfaction, and concerns on these aspects. The research issues considered are the effect of AI-based PMS on employee retention; perceived accuracy and fairness of evaluations conducted by the AI system; and problems faced by the employees in adjusting to AI evaluations. Comprehensive insights will lead to an understanding of factors that influence employee acceptance of AI-powered PMS, such as algorithmic biases, concerns about data security, automated decisionmaking without some form of human empathy, and transparency in decision-making. The study results will go ahead in adding practical value to the IT organization whose objective is to install AI-driven PMS in their systems for employee fear curtailment when the implementation of AI technologies is undertaken in their HR activities. As emphasized in the research title, AI should be giving support to, not essentially replacing, human judgments in performance evaluations. Transparency, fairness, and ethics in AI will install trust in employees and will contribute to the more effectual and inclusive AI-based performance management system. Here lays yet another ingredient for building the arguments of AI into HRM with empirical evidence in the field of employee perceptions saluting the fine-tuning of AI strategies of organizations in becoming more involved in making a pronounced direction for a much more human-focused AI use in performance evaluation in the IT arena.

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.

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.