Use Of Artificial Intelligence Technologies Research Articles

“What Scares Me Is the Speed at Which Artificial Intelligence Is Developing”: Students' Perceptions of Artificial Intelligence in Foreign Language Teaching

As artificial intelligence (AI) becomes an integral part of our daily lives, the concern of the teaching community about the illegal use of these technologies in the educational process is increasing. In order to adapt the education system and teaching practices to new technological challenges, it is necessary to analyze the opinions of all the parties concerned. The purpose of this study is to identify the attitude of students of Kazan Federal University to the use of artificial intelligence technologies in the educational process and the practice of their application in foreign languages learning process. To achieve this goal, an online survey of students of Kazan Federal University was conducted. The survey touched upon the practical aspects of the use of artificial intelligence in language teaching, the advantages and disadvantages of AI tools from the students’ point of view, as well as their opinion regarding the prospects of AI in education. As a result of the study, we came to the conclusion that at the moment AI tools are not widespread enough in teaching foreign languages. Only one-fifth of the respondents use these tools, but the respondents’ comments suggest that the number of users will grow. The attitude of students towards the use of AI is ambiguous, with responses ranging from enthusiastic to skeptical. Students’ positive impressions are mainly related to saving time and effort, as well as to the ability of AI to present complex materials with understandable language. Among the main disadvantages, the respondents noted unreliability of data and fake content. Despite the fact that students are generally positive about the use of AI, a significant part of respondents do not trust software products such as ChatGPT, since, in their opinion, it provides answers of average quality that need to be corrected. Based on the data obtained, the authors attempted to formulate recommendations on improving the methods of teaching and control in the process of teaching foreign languages at universities.

Ethics of Artificial Intelligence(AI)

In today's research and development, artificial intelligence (AI) ethics are a complex and urgent issue. Concerns about artificial intelligence (AI) systems' possible effects on people, communities, and the larger global environment are raised as these systems are incorporated into more and more facets of society. This study examines the ethical implications of artificial intelligence (AI), looking at topics including privacy, fairness, accountability, transparency, and the possibility of prejudice and discrimination in AI algorithms and decision-making processes. The study endeavours to contribute to the establishment of frameworks and rules that encourage the responsible and ethical use of AI technologies, guaranteeing their conformity with society values and the preservation of human rights, by critically assessing these ethical issues. Keywords:-AI ethics , artificial intelligence, ethics, machine ethics, robotics, challenges.

Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems

Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as assistive technology in complex societal transformations or crisis situations on a global scale these existing definitions fail to account for algorithmic fairness transnationally. We propose to complement existing perspectives on algorithmic fairness with a notion of transnational algorithmic fairness and take first steps towards an analytical framework. We exemplify the relevance of a transnational fairness assessment in a case study on a disaster response system using images from online social media. In the presented case, ML systems are used as a support tool in categorizing and classifying images from social media after a disaster event as an almost instantly available source of information for coordinating disaster response. We present an empirical analysis assessing the transnational fairness of the application’s outputs-based on national socio-demographic development indicators as potentially discriminatory attributes. In doing so, the paper combines interdisciplinary perspectives from data analytics, ML, digital media studies and media sociology in order to address fairness beyond the technical system. The case study investigated reflects an embedded perspective of peoples’ everyday media use and social media platforms as the producers of sociality and processing data-with relevance far beyond the case of algorithmic fairness in disaster scenarios. Especially in light of the concentration of artificial intelligence (AI) development in the Global North and a perceived hegemonic constellation, we argue that transnational fairness offers a perspective on global injustices in relation to AI development and application that has the potential to substantiate discussions by identifying gaps in data and technology. These analyses ultimately will enable researchers and policy makers to derive actionable insights that could alleviate existing problems with fair use of AI technology and mitigate risks associated with future developments.

The use of artificial intelligence technology in libraries and information facilities: an exploratory study into the needs and challenges in the libraries of the Universities of Skikda and Guelma - Algeria

تهدف هذه الدراسة إلى التعرف على مفهوم الذكاء الاصطناعي واستخداماته في مجال المكتبات ومرافق المعلومات وكذا رصد الأسباب التي تدفع بالمكتبات لاستخدام التطبيقات الذكية في تقديم خدمات المعلومات والكشف عن التحديات المرتبطة بذلك. وقد اعتمدنا على المنهج الوصفي الذي مكننا من تحليل الأدبيات العلمية للموضوع، وأيضا تحليل البيانات التي تم جمعها من عينة الدراسة المقدرة بـ 16 فردا يمثلون مكتبيي واختصاصيي المعلومات التابعين لجامعتي سكيكدة وقالمة بالجزائر بواسطة أداة المقابلة. حيث توصلنا إلى مجموعة من النتائج، كان أبرزها: أن تحليل البيانات ودعم التحول الرقمي من أهم الأسباب التي تجعل المكتبات ومرافق المعلومات بجامعتي سكيكدة وقالمة في حاجة إلى استخدام تكنولوجيا الذكاء الاصطناعي، أما بخصوص التحديات، فتتمثل أساسا في تحديات قانونية، تقنية، بشرية، تنظيمية ومالية.

PARAMETRIC MODELING AS AN INNOVATIVE APPROACH IN GRAPHIC DESIGN

Purpose. The article focuses on exploring the possibilities and strategies of innovative integration of parametricism into the field of graphic design and analyzing the main problems and potential solutions in using parametric design in creating graphic objects. Methodology. According to the research topic, the methods employed include comparative study, theoretical analysis, and synthesis. Results. The article discusses the definitions and characteristics of parametric design, examines its applications for optimizing design thinking and creating personalized objects. Various levels of innovative implementations are presented, offering several strategies for integrating parametric modeling into graphic design, including visual element generation, layout optimization, design interactivity enhancement, and data visualization in personalized design. Additionally, integration challenges related to the use of artificial intelligence technologies are discussed. Scientific novelty. The article analyzes various levels and effective strategies for applying parametric modeling in the field of graphic design, exploring current aspects of interaction that are innovative and emphasizing the importance of utilizing parametric design methodology, artificial intelligence, and computational design in the paradigm of contemporary graphic design. Practical significance. The materials presented in the article can be utilized for investigating the innovative application of digital design, parametric design, and artificial intelligence in the field of graphic design.

Intelligent Internet of Things and Privacy Protection Technology for IPE Data Analysis

In the process of shaping the personality and forming the ideal and belief of innovative talents, education plays a unique role that cannot be replaced by other forms of education. The application of an intelligent Internet of Things has been well developed in college teaching. AI is the reality of technological development in the training of higher talents in the new era, and it is the realistic demand for IPE in the training of higher talents, which requires political and ideological empowerment. Positioning the role of "educational assistant" in AI and then defining it as a "quasi-subjective object", is the basic positioning of the introduction of higher-talent IPE at this stage. 1) Build a model of teacher-student interaction supported by "human-computer cooperation"; 2) Construct intelligent learning and intelligent teaching modes supported by "algorithm databases"; 3) Establish the mechanism principle of "people-oriented" assessment and goal orientation, and further improve the quality of IPE in China's higher education personnel training. This paper aims to explore the use of artificial intelligence technology to build an ideal ideological and political education paradigm in the process of training higher-level talents in Chinese universities.

AI-Driven Content Creation and Curation in Digital Marketing Education: Tools and Techniques

This research paper investigates the utilization of artificial intelligence (AI) technologies for content creation and curation within the realm of digital marketing education and its subsequent impact on student engagement and learning outcomes. As digital marketing continues to evolve rapidly, educators are increasingly turning to AI-driven tools to tailor content delivery to the individual needs and preferences of students. Drawing upon a comprehensive review of literature spanning AI, education, and digital marketing, this study establishes a theoretical framework to elucidate the mechanisms through which AI-driven content influences student learning experiences. Employing a mixed-methods research design, the study incorporates both quantitative surveys and qualitative interviews to gather insights from students and instructors alike. The results reveal compelling trends indicating that AI-driven content not only enhances student engagement but also contributes to improved learning outcomes by fostering deeper comprehension and retention of digital marketing concepts. However, amidst the myriad benefits, the study also uncovers challenges such as algorithm bias and technological limitations that warrant careful consideration. This paper underscores the critical importance of pedagogical innovation and the ethical use of AI technologies in digital marketing education. By harnessing the power of AI to deliver personalized, adaptive learning experiences, educators can empower students to thrive in an increasingly competitive and dynamic industry landscape. Ultimately, this research contributes to a deeper understanding of the transformative potential of AI in shaping the future of education and preparing students for success in the ever-evolving field of digital marketing.

Innovations in public health surveillance: An overview of novel use of data and analytic methods.

Innovative data sources and methods for public health surveillance (PHS) have evolved rapidly over the past 10 years, suggesting the need for a closer look at the scientific maturity, feasibility, and utility of use in real-world situations. This article provides an overview of recent innovations in PHS, including data from social media, internet search engines, the Internet of Things (IoT), wastewater surveillance, participatory surveillance, artificial intelligence (AI), and nowcasting. Examples identified suggest that novel data sources and analytic methods have the potential to strengthen PHS by improving disease estimates, promoting early warning for disease outbreaks, and generating additional and/or more timely information for public health action. For example, wastewater surveillance has re-emerged as a practical tool for early detection of the coronavirus disease 2019 (COVID-19) and other pathogens, and AI is increasingly used to process large amounts of digital data. Challenges to implementing novel methods include lack of scientific maturity, limited examples of implementation in real-world public health settings, privacy and security risks, and health equity implications. Improving data governance, developing clear policies for the use of AI technologies, and public health workforce development are important next steps towards advancing the use of innovation in PHS.

Principles of foreign language teaching based on artificial intelligence technologies

Importance. The widespread use of artificial intelligence technologies affects the language education system. In the few years since the advent of artificial intelligence technology, it has transformed from a theoretical concept into a dynamic force that changes ideas about classical language education. The transition to digital didactics defines new types of relationships between participants in the educational process: the teacher, the student, the educational environment and new technologies. Accordingly, the role of the teacher and the content of didactic and methodological principles of teaching a foreign language using artificial intelligence technologies are changing. The integration of artificial intelligence technologies into the process of teaching a foreign language, on the one hand, indicates the intensification of the educational process and automation of a number of pedagogical tasks, and, on the other hand, the imperfection of new technologies and potential risks and challenges when using them in practice. The main purpose of the research is to define and describe the principles of teaching a foreign language based on artificial intelligence technologies, acting as a full-fledged individual assistant for each student.Research Methods. To conduct research in the field of linguodidactics, an integrated approach is used, including theoretical and empirical methods. At the first stage of the research, theoretical methods are used, including the study of scientific literature on the research topic, analysis, generalization and classification of the information received. At the second stage of the study, empirical methods are applied, including observation and description.Definition of Concepts. Two key concepts of “artificial intelligence technologies” and “neural networks” are considered, and neural networks are classified by type of architecture and scope of application.Results and Discussion. The use of hybrid forms of learning makes it possible to use artificial intelligence technologies as an effective tool for teaching a foreign language right now. Artificial intelligence technologies play a leading role in digital didactics, allowing you to personalize the learning process and enhance the importance of students’ learning autonomy. Digital didactics, based on traditional didactic and methodological principles, involves the implementation of the following principles of learning: the principle of expediency, the principle of contextual learning, the principle of interactivity, the principle of accessibility, the principle of personalization of learning, the principle of multimodality, the principle of gamification, the principle of inclusive assessment.Conclusion. A system of principles of teaching a foreign language based on artificial intelligence technologies is presented, taking into account the peculiarities of the organization of the educational process in relation to digital didactics. It is worth noting that this system of principles is open and can be supplemented with new learning principles, as well as the content of these principles may change with the development of artificial intelligence technologies. The results obtained can be used in further research on the integration of artificial intelligence technologies into language education, as well as in the methodology of teaching foreign languages based on modern technologies.

The use of artificial intelligence technologies in foreign language teaching: the subject of methodological works for 2023 and prospects for further research

Importance. The rapid spread of artificial intelligence (AI) technologies and the use of AI tools in education have stimulated the emergence of a large body of scientific and methodological works devoted to methods of foreign language teaching based on AI. At the same time, most of the publications are not distinguished by obvious scientific novelty or practical value. The purpose of the research is to analyze and classify scientific articles on methods of foreign languages teaching, published in Russian highly rated scientific publications in 2023, to highlight the main subjects of the works of scientists and to identify methodological gaps and prospects for further methodological research.Materials and Methods. The research is conducted on the basis of scientific articles on methods of foreign languages teaching, published in scientific journals listed by the Higher Attestation Commission of the Russian Federation (K1, K2) for 2023. The research is based on an expert approach, which allows, through analysis of the corpus of scientific publications, to summarize the data obtained, highlight existing patterns, put forward hypotheses regarding the prospects for further research in the chosen area, and also identify a range of issues that have not been resolved. Within the framework of this approach, the following theoretical research methods are used: analysis of scientific publications, classification and summarization of data.Results and Discussion. In the course of the research, the main subjects of scientific and methodological work on methods of foreign language teaching based on AI are determined: a) vectors of using artificial intelligence in education; b) chatbots and voice assistants in teaching foreign language verbal communication; c) corpus technologies of artificial intelligence in the formation of students’ lexical and grammatical skills and research work; d) automation of the process of monitoring the development of foreign language speech skills and the formation of students’ language skills; e) the use of neural networks in foreign language teaching; f) the use of neural networks in research work; g) requirements for the competence of a foreign language teacher in the field of artificial intelligence; h) requirements for the competence of students in the context of the integration of artificial intelligence into education.Conclusion. The author included the following issues of foreign language teaching based on artificial intelligence technologies as research prospects: a) methodology for foreign language teaching based on AI; b) linguodidactic potential of existing and emerging AI tools; c) types of feedback from generative artificial intelligence; d) types of intelligent learning systems and their capabilities; e) teaching according to an individual trajectory; f) risks and threats arising in the process of integrating artificial intelligence into education; g) competence of a foreign language teacher in the field of artificial intelligence.

Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates

The current work aims to analyze the main themes related to artificial intelligence (AI) and sustainable development during the pandemic period. This study provides an overview of the specialized literature related to AI and sustainability from the beginning of the pandemic through 2023. The present paper analyses scientific literature emphasizing both artificial intelligence's positive and negative impacts on sustainable development objectives (SDGs). To conduct the research, we employed bibliometric analysis and text-mining techniques to identify the major themes in the literature indexed in the Web of Science and Scopus databases. Firstly, we used descriptive measures to identify the authors' impact, the article production by country, the main keywords used, and other descriptive data. We further used data reduction methods based on co-word analysis (such as multiple correspondence analysis) on authors' keywords to show patterns in the themes explored in the literature. Bibliometric analysis was supplemented by text mining using Latent Dirichlet allocation (LDA) and structural topic modeling on abstracts to provide a comprehensive view of scientific debates on AI and sustainable development. Our research has identified various themes in the literature related to AI and sustainable development. These themes include social sustainability, health-related issues, AI technologies for energy efficiency, sustainability in industry and innovation, IoT technologies for smart and sustainable cities, urban planning, technologies for education and knowledge production, and the impact of technologies on SDGs. We also found that there is a significant positivity bias in the literature when discussing the impact of AI on sustainable development. Despite acknowledging certain risks, the literature tends to focus on the potential benefits of AI across various sectors. In addition, the analysis shows a growing emphasis on energy efficiency, which is facilitated by the use of AI technologies. Our study contributes to a better understanding of current scholarly discussion trends and emerging scientific avenues regarding AI and sustainable development. It also highlights the areas where research is needed and the implications for practitioners and policymakers.

Использование технологий искусственного интеллекта в процессе функционирования института общественного контроля в России

This article analyzes the current problems and prospects of using artificial intelligence technologies in the func-tioning of public control in the Russian Federation. The work elucidates the place and role of this civil society institution in securing legal guarantees for the implementation, protection, and defense of the system of consti-tutional principles, alongside the rights, liberties, and lawful interests of the populace and distinct legal entity categories. The authors analyze various points of view on the limits and prospects of using artificial intelligence technologies in the field of public administration. The necessity of modernizing approaches in the organization and activities of subjects of public control through the use of artificial intelligence technologies in their activities is substantiated. The article outlines and scrutinizes the primary challenges hindering the utilization of the above-mentioned technologies by subjects of public control. A set of solutions is created and justified to ad-dress these issues, including through the introduction of amendments and additions to the Russian legislation on public control.

Utilizing AI for Social Good: Tackling Global Issues and Fostering Inclusive Solutions

This research delves into the intricate influence of Artificial Intelligence (AI) on community development across vital sectors such as healthcare, education, environmental sustainability, and community empowerment. Its core aim is to comprehensively analyze how individuals in underserved communities perceive and experience the use of AI technologies. To achieve this, a mixed-methods approach is adopted, combining quantitative surveys for statistical insights with qualitative narratives for nuanced perspectives. Engaging 120 participants from diverse backgrounds and age groups, the research methodology incorporates Likert scales and regression analysis for data interpretation. The study reveals a prevalent positive outlook on AI's impact across various domains, particularly highlighting its significant effects on healthcare, education, and environmental sustainability. Integration of qualitative narratives enriches the findings, offering depth and context to statistical analyses. Its novelty lies in the comprehensive examination of AI's influence on community development, seamlessly blending quantitative and qualitative dimensions. By providing nuanced insights into AI's multifaceted role in community contexts, the research significantly contributes to the field. Ultimately, the study underscores the importance of responsible AI deployment, aligned with community values, to navigate the evolving technological landscape and foster sustainable community development.

The Impact of Artificial Intelligence on Unemployment and Future Work

The rapid development of artificial intelligence should also affect the world market. Unemployment is ex- pected to increase as artificial intelligence can perform tasks performed by humans in many different sectors. The eight- year study (2010-2017) investigates the impact of artificial intelligence (AI) on unemployment in 26 developed and devel- oping countries. More precisely, this study uses data analysis techniques to investigate how the use of artificial intelligence technology affects unemployment in 26 different sectors. The results of a data study compiling World Bank and OECD data show a positive relationship between advances in artificial intelligence and unemployment. The advancement of artificial intelligence is determined by patent information. Due to the differences in artificial intelligence development between the countries studied, artificial intelligence development has been shown to have a positive impact on the unemployment rate in the studied countries. Additionally, compared to younger workers, older workers with higher education may have less impact on employment due to improved skills. Finally, re- search and development (R&D) spending varies widely across countries, making it difficult to aggregate. Therefore, this study does not show the relationship between the share of R&D expenditures in GDP and how artificial intelligence affects unemployment. One of the most talked about topics in the public today is intelligence. Many people associate this with changes in the economy, especially changes in the economy that are generally expected to cause high unemployment. As artificial intelligence becomes more widespread, the public tends to predict which professions will become obsolete and eventually disappear. The healthcare sector is one of the most challenged sectors outside of production due to various medi- cal treatment studies. There are other scientists who disagree with this bad proposition. They argue that the emergence of artificial intelligence will create new jobs, just like all previous economic revolutions. Keywords-- Artificial Intelligence, Unemployment, Future Work, Impact, Automation, Job Displacement, Skills Gap, Job Creation, Manufacturing, Retail, Healthcare, Reskilling, Upskilling, Policy, Regulation, Mitigation Strategies, Labor Market, Education, Training, and Economic Impact.

Artificial intelligence in accounting

Artificial Intelligence (AI) technologies open up broad horizons for enhancing business efficiency and advancing various professional domains, boosting their productivity and compe­titiveness. There is an active exploration of approaches to incorporating AI technologies in the accounting sphere, promising a seamless transition from human to machine involvement. The aim of this article is to summarize the acquired experience, identify perspectives, constraints, and risks associated with the use of AI technologies in the professional activities of accountants. The research is based on the hypothesis that widespread use of AI in the professional activity of an accountant with an insufficient level of professional skepticism and caution carries significant threats and risks for both the accountant and the business as a whole. Scientific search methods, comparative and critical analysis, theoretical generalization, and synthesis were used. A prerequisite for imple­menting AI technologies in accounting is expert information systems and ERP systems. The analysis of AI technology implementation experience in various industries demonstrates their relevance in the accounting field for performing routine tasks (automated recognition of primary documents, processing incoming signals, and other standard operations with a simultaneous reduction in the probability of errors), analyzing large datasets, and providing information support for decision-making (pro­ces­sing business data and regulatory docu­ments), training professionals, and organi­zing internal and external communication (parti­cularly between humans and machines). Identi­fied potential risks include breaches of privacy and data security, misinterpretation of output data, and the disregard of activity context, external and internal environments, especially due to the absence of emotional intelligence, which influences the trust level in integrated information systems. The requirement for the application of professional assessments and judgments, mandated by regulatory documents, limits the scope of AI technology utilization in accounting. Future research should focus on exploring the possibilities of widespread integ­ration of AI technologies in information systems for accounting and improving legislation based on the principle of risk assessment.

AI-enabled Rendering Technology for the Construction and Development of Dunhuang Virtual Pavilion

This paper focuses on the use of AI technology to assist in the construction of digital scenes in Dunhuang Research Institute, which realizes the roaming of tourists in virtual scenes through image recognition and semantic analysis of massive digital image data, and explores the possibility of AI-assisted rendering of virtual museums. Using AI technology, tourists can observe the uniqueness of each cave within the cavern and its rich content from any angle, and obtain an immersive travel experience. The study fully utilizes the new generation of information technology to build a virtual scene platform of Dunhuang Mogao Grottoes, which comprehensively presents the history, cultural value and artistic value of Dunhuang Mogao Grottoes through the comprehensive integration and display of a variety of digital resources. Focusing on digital media and virtual reality technology, through the use of artificial intelligence technology and the comprehensive integration of related digital resources, to build a complete set of virtual reality ecosystem, and explore the realization of multi-source data fusion of Dunhuang cultural communication.

Graduate Students' ChatGPT Experience and Perspectives during Thesis Writing

The artificial intelligence (AI) language model ChatGPT, created by OpenAI, can assist students with academic writing assignments in innovative and distinctive ways. Several studies have investigated how postgraduate students perceive various aspects and how gender could affect their perspectives. This study analyzes the perspectives of 80 male and female postgraduate students in various academic fields at Jadara University regarding the use of ChatGPT in writing their theses. This investigation adopts a quantitative approach and extensively utilizes a questionnaire as the primary tool for data collection. The survey aims to determine how students perceive ChatGPT in terms of its usefulness, ease of use, impact on writing quality, and challenges related to dependability and academic integrity. Descriptive statistics examine gender differences in these perceptions, shedding light on postgraduate students’ usage of ChatGPT and gender-related roles. This information could enhance academic writing through the use of AI technology and inform future studies and practices.

A novel Conceptualization of AI Literacy and Empowering Employee Experience at Digital Workplace Using Generative AI and Augmented Analytics: A Survey

With the fast, rapid, and expeditious integration of Artificial Intelligence (AI) technologies, particularly Generative AI and Augmented Analytics, organizations are presented with new opportunities to transform their operations and empower their workforce. This paper explores the intersection of AI literacy, Generative AI, and Augmented Analytics to propose strategies for fostering a culture of AI fluency among employees. This paper reviews the literature on AI literacy and its potential implications for employee experience (Ex) in digital workplaces. AI literacy and competency is the ability to understand, interact with, and thoughtfully assess the applications and ramifications of artificial intelligence (AI) across diverse domains. The paper argues that AI literacy is a key competence for employees in the digital era, as it enables them to leverage the potential of generative AI and augmented analytics, two of the most promising technologies for enhancing Ex. Generative AI refers to the use of AI to create novel and diverse outputs, such as text, images, music, or designs, while augmented analytics drives potential capability to make use of Artificial Intelligence technologies to automate and augment data analysis and decision-making. The paper discusses how these technologies can empower employees to be more creative, productive, collaborative, and engaged in their work and the challenges and risks they pose. This paper additionally highlights the obstacles, deficiencies, and proposed pathways for further research advancement concerning AI technological competency and literacy, aiming to enhance the employee experience significantly in digital workplaces.

The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence

As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such as investigation, integration, learning, prediction, and decision-making, holds significant potential for application in clinical care not only to enhance care quality but also to help guide the future direction of healthcare. AI applications are already being increasingly utilized to improve the quality of clinical care and to streamline workflows. However, because nursing education has lagged behind in terms of adopting AI, greater attention must be given to training up nursing students with AI-related knowledge and application skills. AI technologies should be integrated into nursing curricula and clinical internships to adapt to the rapidly changing high-tech healthcare environment, enabling the more-effective use of AI technology in providing high-quality and safe nursing care.

Application of artificial intelligence in motivating court decisions in criminal proceedings: international experience and prospects for Ukraine

The article is devoted to the study of the opportunities and challenges of using artificial intelligence in criminal proceedings, namely, in the course of reasoning court decisions. The use of specialized knowledge by a judge is an important aspect in this process, especially in the context of analyzin gevidence and its legal assessment. The use of artificial intelligence in this area can be an important innovation to improve the quality of court decisions and ensure greater objectivity in justice. Artificial intelligence technologies are developing rapidly, and their potential application in criminal proceedings has become a subject of deep interest among both the scientific community and legal professionals. Based on the analysis of artificial intelligence systems, which are already used in judicial proceedings (the HART system in the United Kingdom, the Bail Assistant program in Australia, the Supreme Court Portal for Promoting Court Efficiency (SUPACE) in India, artificial intelligence systems in Brazil, Saudi Arabia, and the United Arab Emirates), the author has established that the use of artificial intelligence provides a number of useful tools and advantages in evaluating evidence and reasoning a court decision. Thus, it has been determined that the analysis of large amounts of data can help identify patterns and trends in law enforcement, and certain software can influence the prediction of risks and the identification of effective strategies for responding to them. In addition, the author identifies a number of serious challenges and risks, associated with the use of artificial intelligence technologies in criminal proceedings: protection of personal data, transparency and clarity of artificial intelligence algorithms, etc. According to the study, it is established that the use of artificial intelligence in the process of reasoning court decisions is possible subject to the development and implementation of effective legal mechanisms, which will allow coordinating and regulating this process. Also, the implementation of relevant changes to the criminal justice system of Ukraine should be carried out with a balanced and scientifically sound approach that allows weighing the potential risks and benefits and developing recommendations for the proper practical and ethical use of artificial intelligence technologies