Use Of Artificial Intelligence Technologies Research Articles

ARTIFICIAL INTELLIGENCE – POWERED VIDEO CONTENT GENERATION TOOLS

This article discusses the considerations of artificial intelligence-powered video content generation tools, exploring their applications, ethical considerations, and evaluation criteria. Through discussions of various artificial intelligence (AI) tools, including features, limitations, and implications, the authors analyze the evolving landscape of video creation in the digital age. Key themes include the ethical implications of deep fake technology and the importance of responsible AI principles, exemplified by Microsoft's guidelines. This paper identifies five of the most promoted free social media tools. Evaluation criteria for these tools, such as visual quality, relevance, coherence, authenticity, and transparency, are examined to assess the suitability of AI-generated videos. While AI offers promising opportunities, the discussion underscores the continued need for human oversight and ethical considerations to ensure the responsible use of AI technologies in video content generation.

RESEARCH ON ARTIFICIAL INTELLIGENCE TOOLS FOR AUTOMATING THE SOFTWARE TESTING PROCESS

The subject matter of the article is artificial intelligence (AI) tools for automating the software testing process. The rapid development of the software development industry in recent decades has led to a significant increase in competition in the IT technology market and, as a result, stricter requirements for corresponding products and services. AI-driven test automation is becoming increasingly relevant due to its ability to solve complex tasks that previously required significant human resources. The goal of the work is to investigate the possibilities of using AI technologies to automate manual testing processes, which will increase testing efficiency, reduce costs, and improve software quality. The following tasks were solved in the article: analysis of existing tools and approaches to test automation using AI; development of a conceptual model of a system that integrates AI into the testing process; exploring the potential of AI to automate various aspects of software testing, such as generating test scenarios, detecting defects, predicting errors, and automatically analyzing test results. The following methods are used: theoretical analysis of the literature and existing solutions in the field of test automation, experimental study of the effectiveness of the proposed test automation methods. The following results were obtained: the concept of a system that integrates AI technologies for automating software testing is presented. It has been found that the use of AI allows automating routine testing tasks, significantly reducing the number of human errors, and improving the quality of software products and the effectiveness of verification and validation processes. Conclusions: The development and implementation of AI-based testing automation systems are extremely relevant and promising. The use of AI technologies makes it possible to significantly increase the efficiency of testing, reduce the costs of its implementation, and improve the quality of software. The proposed approach to the development of an AI-based test automation system can be used as a basis for further research and development in this field.

Impact of Artificial Intelligence on Supply Chain Efficiency in Turkey

Purpose: The aim of the study was to evaluate the impact of artificial intelligence on supply chain efficiency in Turkey. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Artificial intelligence (AI) has significantly enhanced supply chain efficiency in Turkey. AI applications such as predictive analytics, demand forecasting, and optimization algorithms have streamlined operations, reduced costs, and improved decision-making. Automation of repetitive tasks through AI has increased productivity and accuracy in inventory management and logistics. Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, dynamic capabilities theory & technology acceptance model (TAM) may be used to anchor future studies on the impact of artificial intelligence on supply chain efficiency in Turkey. Invest in continuous training and development programs for supply chain professionals to effectively utilize AI tools. Develop industry standards and regulatory frameworks for the ethical use of AI in supply chains. These policies should address data privacy, security, and the responsible use of AI technologies to protect stakeholders.

Artificial Intelligence and Its Challenges To Elections In Indonesia: A Legal Analysis

The improper utilization of AI technology poses difficulties to democracy, particularly the growing threat of unjust elections, exemplified by the deployment of bot accounts and deep fakes during electoral processes. Hence, it is crucial to build a strong and comprehensive framework to regulate the utilization of AI technology in Indonesia's political process. This article analyzes four main topics: (a) the advancement of AI technology and its connection to elections; (b) the influence of AI technology on election principles; (c) the pressing need for regulating AI in elections; and (d) the possibilities and difficulties of regulating AI technology within Indonesia's legal framework. The paper employs doctrinal legal research to examine the necessity of regulating AI technology in the context of conducting elections, taking into account the constitutional framework, established principles, and democratic election norms. The result shows that irresponsible use of AI technology remains a menace to democratic election ideals, and Indonesia must establish adequate legal mechanisms to tackle the problems stemming from the improper use of AI technology in the political process. The regulation of AI technology can be initiated by introducing a bill specifically focused on artificial intelligence (AI). This process should also involve the synchronization and harmonization of election rules, including election laws, laws governing the election of governors, regents, and mayors, laws concerning political parties, and other implementing regulations such as those established by the General Election Commission and the Election Supervisory Board.

Artificial Intelligence, the Production of Scientific Texts, and the Implications for Sleep Science: Exploring Emerging Paradigms and Perspectives

AbstractThe emergence of artificial intelligence (AI) has revolutionized many fields, including natural language processing, and marks a potential paradigm shift in the way we evaluate knowledge. One significant innovation in this area is ChatGPT, a large language model based on the GPT-3.5 architecture created by OpenAI, with one of its main aims being to aid in general text writing, including scientific texts. Here, we highlight the challenges and opportunities related to using generative AI and discuss both the benefits of its use, such as saving time by streamlining the writing process and reducing the amount of time spent on mundane tasks, and the potential drawbacks, including concerns regarding the accuracy and reliability of the information generated and its ethical use. In respect of both education and the writing of scientific texts, clear rules and objectives and institutional principles must be established for the use of AI. We also consider the positive and negative effects of the use of AI technologies on interpersonal interactions and behavior, and, as sleep scientists, its potential impacts on sleep. Striking a balance between the benefits and potential drawbacks of integrating AI into society demands ongoing research by experts, the wide dissemination of the scientific results, as well as continued public discourse on the subject.

Evaluation of the use of AI technologies in German engineering: insights from the employee perspective

It is claimed that the technology of Artificial intelligence (AI) will change working life and conditions as we have known until now so drastically that the question arises of how people will work in the future. At least the medial discourse paints these dystopian forecasts (Frey and Osborne in Technol Forecast Soc Change 114:254–80, 2017; Cave and Dihal in Nat Mach Intell 1:74–8, 2019; Susskind and Susskind in The Future of the Professions: How Technology Will Transform the Work of Human Experts. 2015) as AI has the potential to automate many processes and address many challenges in the field of engineering (Humpert et al. in Procedia CIRP 119:693–8, 2023). The discussions about the side effects of AI lack the perspective of experts from the field of engineering who provide a differentiated assessment of where the integration of AI could be supportive. An employee perspective is mostly missing in previous research (Giering in Zeitschrift für Arbeitswissenschaft 76:1–15, 2022) but might help identify the areas in labor suitable for integrating AI. To examine where and how AI could be implemented in German engineering this paper summarizes the perspectives of 11 employees from the field of German engineering and their views on AI. The findings focus not on the technical aspect of AI but rather on the employees’ requirements regarding their work. Even though the experts come from similar technical work fields the perspectives, evaluations, and possible application areas regarding AI differ very much. An individual evaluation of employees' perspectives seems crucial for integrating AI into a working environment to design supporting technology. Employees should be seen as co-creators and get the opportunity to co-determine from the beginning of such integration processes (Herrmann and Pfeiffer in AI Soc 38:1523–42, 2023). Furthermore, with this insight, indications about how this career field needs to be formed for future developments can be identified.

From MilkingBots to RoboDolphins: How AI changes human-animal relations and enables alienation towards animals

Technologies, especially disruptive technologies, have a great potential to change and reshape human-human as well as human-technology relations. This creates various ethical challenges that need to be addressed. However, technologies also have great potential to change human-animal relations. Since this aspect is underexplored in the academic debate on technologies’ impact on relations, we believe that it is important to (1), descriptively, study how new and emerging technologies impact human-animal relations, and (2), normatively, to enrich the debate with a non-anthropocentric perspective that recognizes that human-animal relations also have moral significance. Therefore, in this paper we investigate how artificial intelligence (AI) technologies and robotics impact human-animal relations, and we discuss the moral significance of these changes. AI technologies change human-animal relations due to, first, automation, and second, replacement processes. Automation processes mainly take place in the animal agriculture sector, and the replacement of biological animals with artificial AI-driven animals mainly in the context of zoos, companion animals and laboratories. We address both processes (automation and replacement), thereby providing an overview of how the use of AI technologies will—or can—change human-animal relations, at both the individual and societal levels. While doing so, we highlight the morally significant aspects that come along with such changes and provide first thoughts on which uses of AI are welcomed from a perspective of human-animal relations.

TRAINING FUTURE COMPUTER SCIENCE TEACHERS TO USE ARTIFICIALINTELLIGENCE TECHNOLOGIES IN THE EDUCATIONAL PROCESS

The article discusses the training of future computer science teachers to use artificial intelligence (AI) technologies in education. The authors highlight the relevance of this issue in light of the rapid spread of AI technologies in various spheres of life and the need to develop students’ digital competencies related to the use of artificial intelligence. The study aims to identify the essential competencies that future computer science teachers need to effectively use AI in education. It also analyzes the existing problems and challenges in this area, studies the prospects for the use of AI in education, develops recommendations for improving relevant training programs, and overcoming barriers to the implementation of AI technologies. The study identified three main groups of competencies for future computer science teachers in the field of AI: technical, pedagogical, ethical and legal. Technical competencies include knowledge of AI technology principles, algorithms, and software. Pedagogical competencies relate to the ability to adapt teaching materials and methods to the capabilities of AI and to develop appropriate tasks and projects. Ethical and legal competencies involve comprehending the risks and challenges associated with AI usage, as well as being aware of the ethical principles and legal norms in this field. The article analyzes technical, pedagogical, ethical, and legal problems related to introducing AI technologies into computer science teacher training and education. It also explores the potential benefits of AI in education, such as personalized and adaptive learning, improved teaching and assessment effectiveness, and the development of critical thinking and creativity in students. The authors suggest methods to enhance computer science teacher training programs, such as incorporating specialized AI courses, providing practical training, and involving industry experts. They also stress the significance of considering the most effective international practices in this field. To summarize, the article highlights the pressing need to modernize the computer science teacher training system in Ukraine. This is necessary to develop the competencies required for the effective use of AI technologies in the educational process. Such modernization will contribute to the development of students’ digital literacy and ensure the competitiveness of the Ukrainian educational system in the context of digital transformation.

Examining the Integration of Responsible AI Principles in Social Media Marketing for Digital Health: A Theoretical Analysis

This study explores the integration of responsible artificial intelligence (AI) principles into social media marketing strategies within the digital health sector. With the proliferation of digital health platforms and the growing use of AI technologies in marketing, ensuring ethical practices is paramount. By examining the application of responsible AI principles in this context, this research aims to address concerns related to privacy, fairness, transparency, and accountability. Through a comprehensive analysis of current practices and emerging trends, this study highlights the importance of balancing marketing objectives with ethical considerations to promote trust and engagement among users. Key aspects include leveraging AI algorithms for personalized content delivery while safeguarding user data, implementing transparent AI-driven decision-making processes, and establishing mechanisms for accountability and user empowerment. This investigation offers valuable insights for marketers, policymakers, and stakeholders in navigating the evolving landscape of digital health marketing while upholding ethical standards and fostering positive user experiences. Key Words: Responsible AI, Social Media Marketing, Digital Health, Ethical Practices, Transparency

The impact of AI-based decision support systems on nursing workflows in critical care units.

This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan. The deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing. This paper examines how AI-based DSS affect CCU nursing workflows in Amman, Jordan, using a cross-sectional analysis. A study group of 112 registered nurses was enlisted throughout a research period spanning one month. Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training. The findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision-making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties. The study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine-tuning to optimize their efficacy in enhancing patient care results. This research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.

THE ARTIFICIAL INTELLIGENCE TECHNOLOGIES APPLICATION IN THE MILITARY SYSTEMS ANALYSIS

This article analyzes the use of artificial intelligence technologies in military systems. Artificial intelligence (AI) is one of the modern areas of information technology. The history of human-like mechanisms development dates back to ancient times and has gone through a complex evolutionary path from myths and legends about the first androids, mechanical chess players and other complex mechanisms with human behaviour to modern autonomous robots. The first research on AI in the modern sense began almost immediately since the appearance of the first computers. Since the late 1950s, AI researchers have been trying to create smart machines that mimic the brain. AI has become a key technology in various industries, including the military, in recent decades. Thanks to its characteristics, AI transforms traditional strategies and tactics into a military art. Various aspects of the artificial intelligence use are discussed, in particular autonomous weapons systems, forecasting and analytics, cybersecurity and strategic planning. The advantages and opportunities provided by the use of artificial intelligence by military formations are highlighted, as well as attention is drawn to the ethical and legal aspects of this issue. Artificial intelligence technologies open up new opportunities for the military in many aspects, from autonomous systems to analytics and strategic planning. However, it is also important to take into account the ethical and legal aspects of these technologies use, as well as the risks associated with their implementation. A balanced approach to the use of artificial intelligence will help ensure its effective application in military systems. The article focuses on the importance of a balanced approach to the artificial intelligence technologies use for military purposes, taking into account their capabilities and risks.

TECHNOLOGICAL SOLUTIONS BASED ON ARTIFICIAL INTELLIGENCE IN TEACHING FOREIGN LANGUAGES: AN ANALYTICAL REVIEW

AI technologies are already beginning to change the learning process, they contribute to the creation of a personalized learning path; help to analyze educational metadata almost instantly; provide access to big data, helping in solving various professional tasks and problems. The purpose of this article is to provide an analytical review of examples of the use of artificial intelligence technologies in language teaching and to create a typology of AI-based technological solutions that have been actively used in the educational process over the past five years. The proposed typology of AI-based technological solutions used in teaching a foreign language is based on areas of didactic activity and didactic tasks that can be effectively solved with the help of AI. Under the directions of didactic activity, we mean: teaching and learning of foreign languages; management of the educational process, including the analysis of educational analytics, the development of an individual learning path, the creation of recommender systems; organization of the educational process, that is, control and assessment, providing feedback and reflection, developing didactic materials for adaptive online courses and intelligent learning systems.

World models for autonomous driving

Advancements in autonomous driving have been achieved due to the increasing use of artificial intelligence. The existing autonomous driving technology is insufficient to handle intricate traffic conditions. In autonomous driving, the world model is a crucial and innovative technology. Utilizing sensors and pre-existing knowledge, a world model can enhance the autonomous driving system's comprehension of the surroundings, offer essential data for future judgments, and enhance the system's resilience. The paper employs literature analysis and review methods to investigate the research and implementation of world models in autonomous driving, including environment perception and modeling, path planning, decision-making, and safety. This study examines the use of artificial intelligence technology in autonomous driving and analyzes the research and application of the world model in this field. It offers new insights for addressing challenging scenarios in autonomous driving and enhancing the safety of the system.

Modern Broadcasting: Leveraging Artificial Intelligence and Big Data for More Personalized Content

Artificial intelligence (AI) technology and big data analytics have changed the landscape of the modern broadcast industry by providing a deeper understanding of audiences, increasing content personalization and strengthening engagement with viewers. In this study, we investigate the impact of the use of this technology in the broadcasting industry, with a focus on the analysis of demographic data, the use of recommendation algorithms, personalized interactions through AI technology, and optimization of broadcast time. Analysis of demographic data allows broadcasters to understand their audiences better, while the use of recommendation algorithms provides the opportunity to serve more personalized content to audiences, increasing engagement and interaction. The use of AI technology in audience interactions, such as chatbots and virtual assistants, also provides viewers with a more personalized experience, while optimizing broadcast time allows broadcasters to reach a wider audience and increase broadcast effectiveness. Although AI technology and big data analysis bring significant benefits, ethical challenges related to data privacy and security remain a major concern. By considering these challenges, broadcasters can leverage this technology effectively to improve content quality, increase engagement with audiences, and remain relevant in an ever-changing broadcast environment.

Ethical use of artificial intelligence technology in medical research and publications

Ethical use of artificial intelligence technology in medical research and publications

인공지능 기술 활용에 따른 디자인 교육적 함의 및 향방

인공지능 기술 활용에 따른 디자인 교육적 함의 및 향방

К ВОПРОСУ О ТРАНСФОРМАЦИИ МЕДИЦИНСКОГО ОБРАЗОВАНИЯ

The transformation of medical education at the present stage has determined the problem of this study, the issues of high-quality training of medical personnel necessary for the society have not been fully resolved, pedagogical technologies and methodological approaches that contribute to the growth of educational results have not been fully disclosed. The aim of this study to analyze the existing high-potential forms of training that could be used in the transformation of the educational space of a medical university and contribute to better training of future specialists in the medical industry. The study of literature and other various sources of information was chosen as the main research method that allowed to describe the active and interactive forms of training under discussion as well as to reveal the possibilities of immersive learning and the use of artificial intelligence technologies. Our analysis shows that the use of nontraditional forms of learning gives the required effect of change and novelty, evokes an emotion of interest in students and is a powerful incentive to gain knowledge, skills and abilities. It was noted that all changes in the transformable educational process must take into account the motivational aspect in learning, since the most important factor affecting the effectiveness of the educational process, increasing the effectiveness of educational activities at all stages of acquiring professional medical knowledge is the motivation of students to learn. Those medical graduates gain more success in the future carrier, who not only have special knowledge and a set of professional skills, but they also have incentives for education related to the formation of professional competencies, know universal technologies of self-development, understand how to motivate themselves to receive, process and apply new knowledge, are able to critically evaluate the information received, adapt to the requirements of a particular activity, have a stable positive attitude towards the profession.

Legal Uncertainty in Criminal Law Enforcement through the Utilization of Artificial Intelligence Technology in Indonesia

The integration of Artificial Intelligence (AI) technology in law enforcement has become a significant development in Indonesia's information technology landscape. The use of AI in law enforcement presents substantial challenges, including issues of accountability, privacy concerns, and ethical implications. This study aims to evaluate the effectiveness of existing regulations in addressing the use of AI technology in criminal law enforcement in Indonesia and to identify the need for comprehensive legal reforms. The findings indicate that although regulatory frameworks exist, their effectiveness in managing AI applications in criminal law enforcement remains inadequate. There is an urgent need to update the laws to accommodate the rapid advancements in AI and to address emerging legal uncertainties. Comprehensive legal reforms are essential to ensure that AI-enabled law enforcement can be conducted effectively and in accordance with fundamental legal principles.

Thematic Structure of the Stream of Foreign Articles on the use of Artificial Intelligence Technologies in the Library and Information Field: 2019–2023

Thematic Structure of the Stream of Foreign Articles on the use of Artificial Intelligence Technologies in the Library and Information Field: 2019–2023

PEMETAAN BIBLIOMETRIK: PENGGUNAAN TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) PADA RENTANG WAKTU 2011-2023 DALAM DUNIA PENDIDIKAN

Artificial Intelligence technology is artificial intelligence which is then associated with the ability of machines or computers to do things that humans do. Artificial Intelligence originally started in 1942 when the American science fiction writer Isaac Asimov then included AI in his book entitled Runaround which then told about robots. Then, in 1956 MarvinMinsky and John McCarthy began conducting research on artificial intelligence. Artificial Intelligence technology has become increasingly popular among the wider community, in all circles, including in the world of education. One of the products from AI which is quite popular at the moment is GPT chat which is often used in the world of education. This is because Artificial Intelligence technology makes it very easy to do work or assignments. This article will then examine using bibliometric analysis the trends in the use of Artificial Intelligence technology in the world of education. This article analyzes using the bibliometric analysis method using a database from Scopus with a research range from 2011 to 2023, with the keywords artificial intelligence, impact, and education, which then produces 1565 articles. These articles were analyzed using bibliometric methods with biblioshiny. The aim of this article is to analyze trends in the use of artificial intelligence technology in the world of education based on bibliometric analysis by observing the number of publications on this topic from year to year. It was found that from year to year research on the use of artificial intelligence in the world of education, the graph continues to increase and shows a percentage of 43.71% for the development of publications from year to year. This article is divided into several parts (1) introduction which explains each research component starting from scopus bibliometrics and biblioshiny as well as the topics studied; (2) research methods carried out using bibliometric analysis; (3) results and discussion of the bibliometric analysis; and (4) conclusions.