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Journal articles on the topic 'Artifical intelligence'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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1

Shamova, V. O. "Results of Generative Artificial Intelligence: Issues of Legal Regulation." Russian Law Online, no. 1 (July 26, 2024): 70–76. http://dx.doi.org/10.17803/2542-2472.2024.29.1.070-076.

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The paper examines the role of artificial intelligence in modern technological processes. The active introduction of artificial intelligence into various spheres of society leads to increased production efficiency through the use of neural networks. At the moment, there are numerous examples of the introduction and operation of artificial intelligence. In this regard, a global expert group has conducted numerous studies in the field of digital technologies, which makes very reasonable forecasts of productivity improvement and positive impact on the economy through the use of innovative technologies.
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2

Motomura, Yoichi. "Future Artificial Intelligence Technology". Proceedings of the Symposium on Evaluation and Diagnosis 2016.15 (2016): 0spec. http://dx.doi.org/10.1299/jsmesed.2016.15.0spec.

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3

Torgautova, B. A., and K. M. Osmonaliyev. "On the issue of criminal liability for acts committed with the use of artificial intelligence for criminal purposes." Eurasian Scientific Journal of Law, no. 1 (6) (April 19, 2024): 41–47. http://dx.doi.org/10.46914/2959-4197-2024-1-1-41-47.

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This article discusses criminal liability committed with the use of artificial intelligence (AI) for criminal purposes. The paper identifies such problems as a dynamically developing environment with the participation of artificial intelligence, which forms criminological risks, namely, obtaining information in telecommunications networks and information infrastructure facilities, which, as stated in the article, are not protected from any attacks. In the study, we rely on the scientific works of foreign and domestic authors, which were published in different periods of time on the study of artific
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Torgautova, B. A., and K. M. Osmonaliyev. "On the issue of criminal liability for acts committed with the use of artificial intelligence for criminal purposes." Eurasian Scientific Journal of Law, no. 1 (6) (April 19, 2024): 67–73. https://doi.org/10.46914/2959-4197-2024-1-1-67-73.

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This article discusses criminal liability committed with the use of artificial intelligence (AI) for criminal purposes. The paper identifies such problems as a dynamically developing environment with the participation of artificial intelligence, which forms criminological risks, namely, obtaining information in telecommunications networks and information infrastructure facilities, which, as stated in the article, are not protected from any attacks. In the study, we rely on the scientific works of foreign and domestic authors, which were published in different periods of time on the study of artific
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5

Belkova, Elena. "Works Created by Artificial Intelligence Technologies". Academic Law Journal 23, № 2 (2022): 153–60. http://dx.doi.org/10.17150/1819-0928.2022.23(2).153-160.

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In the context of the growing use of artificial intelligence technologies, including in the field of intellectual property, civil law science is tasked with developing new conceptual approaches to the legal assessment of the results of activities related to the use of artificial intelligence technologies. The current theory of copyright does not apply to such an object as a work generated by artificial intelligence technology, since artificial intelligence itself is the result of human creative activity. The article considers the possibility of recognizing the qualities of the subject of law i
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Kaczmarczyk, Martyna. "O systemach sztucznej inteligencji w kontekście praw człowieka w orzecznictwie Europejskiego Trybunału Praw Człowieka." Studia Prawa Publicznego, no. 2 (50) (June 9, 2025): 9–30. https://doi.org/10.14746/spp.2025.2.50.1.

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Artificial intelligence (AI) is increasingly entering our lives. Rapid technological progress provides many new solutions, without which we often cannot imagine our everyday lives. Despite a rather heavily electronicised and digitalized reality, the potential of artificial intelligence is yet to be fully exploited. Moreover, due to the wide range of applications of AI systems in various areas of life, the possibilities that technological development creates for us go beyond the human imagination. Artificial intelligence can be a source of invaluable help for humans, support, facilitation, and con
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Nikolaeva, E. A., та Iu Yu Kotliarenko. "Motivation strategies for non-linguistic students to learn a foreign language in the process of professional training using artificial intelligence technologies". Vestnik Majkopskogo Gosudarstvennogo Tehnologiceskogo Universiteta, № 3 (30 вересня 2024): 63–73. http://dx.doi.org/10.47370/2078-1024-2024-16-3-63-73.

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Digital technologies have removed all restrictions in the availability of information in a foreign language and deformed the motivation of students of non-language specialties to learn a foreign language. The authors believe that artificial intelligence technologies have the potential to systematically and purposefully influence students' motivation strategies. The goal of the research is to identify main directions of implementing artificial intelligence technologies in the language training process in the context of different motivation strategies. The research methods used are analysis of seco
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8

Larrondo, Manuel Ernesto, та Nicolas Mario Grandi. "Artificial intelligence, algorithms and freedom of expression". Metaverse 2, № 2 (2021): 11. http://dx.doi.org/10.54517/m.v2i2.1790.

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<p>Artificial <span style="font-family: 'Times New Roman';">i</span>ntelligence can be presented as an ally when moderating violent content or apparent news, but its use without human intervention to contextualize and adequately translate the expression leaves open the risk of prior censorship. This is currently under debate in the international arena since, as Artificial Intelligence lacks the capacity to contextualize what it moderates, it is being presented more as a tool for indiscriminate prior censorship than as a moderation aimed at protecting freedom of expression. Th
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Larrondo, Manuel Ernesto, та Nicolas Mario Grandi. "Artificial intelligence, algorithms and freedom of expression". Metaverse 2, № 2 (2021): 11. http://dx.doi.org/10.54517/met.v2i2.1790.

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<p>Artificial <span style="font-family: 'Times New Roman';">i</span>ntelligence can be presented as an ally when moderating violent content or apparent news, but its use without human intervention to contextualize and adequately translate the expression leaves open the risk of prior censorship. This is currently under debate in the international arena since, as Artificial Intelligence lacks the capacity to contextualize what it moderates, it is being presented more as a tool for indiscriminate prior censorship than as a moderation aimed at protecting freedom of expression. Th
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10

Tang, Shengpu. "Transforming Healthcare Decision Making Using Artificial Intelligence". Proceedings of the AAAI Conference on Artificial Intelligence 39, № 27 (2025): 28729. https://doi.org/10.1609/aaai.v39i27.35122.

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Decision making is at the core of healthcare: clinicians constantly make complex decisions that span diagnosis, treatment, care coordination, and resource allocation. Yet, human decisions are never perfect, leading to suboptimal patient care. My research uses AI to augment and improve decision-making in healthcare, following a synergistic approach that combines novel AI methods with practical, real-world implementation. Here, I will explore two key themes: Application-Inspired AI Innovations, focused on novel AI methods grounded in practical healthcare problems; and Path to Deployment and Impa
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11

Koprinkova-Hristova, Petia. "Brain-inspired models and their applications." Mathematics and Education in Mathematics 54 (March 27, 2025): 018–24. https://doi.org/10.55630/mem.2025.54.018-024.

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Even though the contemporary artificial intelligence (AI) became a powerful tool in many areas and even in our everyday life, it still cannot outperform the human brain. The natural intelligence is a result of collaborative work of neural cell ensembles having much more elaborated functionality and connectivity than the artificial neural networks. The paper presents the basic working principles in the brain, neuromorphic computing inspired by them and their applications.
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12

Golenkov, V. V., N. A. Gulyakina, V. P. Ivashenko, and D. V. Shunkevich. "Intelligent Computer Systems of New Generation and Complex Technology of Their Development, Application and Modernization." Doklady BGUIR 22, no. 2 (2024): 70–79. http://dx.doi.org/10.35596/1729-7648-2024-22-2-70-79.

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The paper considers the trends in the development of artificial intelligence technologies in BSUIR for the last five years, lists the main results obtained during this period both in the field of development of artificial intelligence technologies themselves, and in the field of education in artificial intelligence and realization of interaction between teams of specialists working in this field. The necessity of transition to new-generation intelligent computer systems with a high level of interoperability and creation of an appropriate complex technology for their development, maintenance and opera
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13

Alsenany, Samira Ahmed, Obay A. AlMaraira, and Suzan El-Said Mansour. "Nursing students’ perception and attitudes toward utilization of artificial intelligence in health care." Edelweiss Applied Science and Technology 8, no. 6 (2024): 663–70. http://dx.doi.org/10.55214/25768484.v8i6.2138.

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The study aimed to evaluate the nursing students’ perception and attitudes toward utilization of Artificial Intelligence in Health care. Descriptive research design. The study was conducted at Vision Medical College, Jeddah. KSA. Two hundred and six students registered in the nursing program were included in the study by using convenience sampling. Three tools were used for data collection, Self-Administered questionnaire, Covered student nurses' demographic characteristics, Perception toward Artificial Intelligence Questionnaire and Students’ attitudes towards Artificial Intelligence Question
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14

Xu, Yina. "Editorial." Metaverse 2, no. 2 (2021): 1. http://dx.doi.org/10.54517/m.v2i2.1867.

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Xu, Yina. "Editorial." Metaverse 2, no. 2 (2021): 1. http://dx.doi.org/10.54517/met.v2i2.1867.

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16

Ferrein, Alexander, та Thomas Meyer. "A Brief Overview of Artificial Intelligence in South Africa". AI Magazine 33, № 1 (2012): 99–103. http://dx.doi.org/10.1609/aimag.v33i1.2357.

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One of the consequences of the growth in AI research in South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence, to knowledge representation and reasoning, and human language technologies. In this survey we take the reader through a quick tour of the research being conducted at these hubs, and touch on an initiative to maintain and extend the current level of interest in AI research in the country.
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17

Li, Wanting, Haiyan Liu, Feng Cheng, Yanhua Li, Sijin Li та Jiangwei Yan. "Artificial intelligence applications for oncological positron emission tomography imaging". European Journal of Radiology 134 (січень 2021): 109448. http://dx.doi.org/10.1016/j.ejrad.2020.109448.

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18

Olukunle, Ibukun, та Foluke Rachael. "Artificial intelligence and accounting practice in Nigerian banking industry". BOHR International Journal of Finance and Market Research 2, № 1 (2023): 61–69. http://dx.doi.org/10.54646/bijfmr.2023.23.

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This study critically examined the impact of artificial intelligence on accounting practice in the Nigerian banking industry. To attain the objectives of the study, a regression and correction model comprising independent variables (automation process, expert system, and intelligent agent) and dependent variables (accounting practice) was specified for the study. The data for this study were obtained from a primary source where a survey was carried out on banking industries in Nigeria; 133 respondents were chosen as the sample size, of which 128 were returned. The data were analyzed using regr
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19

王, 瑞杰. "Artificial Intelligence in Foot and Ankle Surgery: Current Concepts". Advances in Clinical Medicine 14, № 09 (2024): 793–800. http://dx.doi.org/10.12677/acm.2024.1492531.

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20

Kozlova, N. V. "Intellectual property law: In the hands of artificial creator." Digital Law Journal 2, no. 2 (2021): 65–70. http://dx.doi.org/10.38044/2686-9136-2021-2-2-65-70.

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21

Kott, A. G., D. A. Legkodymov, and E. A. Fursova. "Transformation of business systems and international logistics technologies under the influence of digitization trends." Transport Technician: Education and Practice 5, no. 1 (2024): 83–88. http://dx.doi.org/10.46684/2687-1033.2024.1.83-88.

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The scientific article refl ects the main results of a comprehensive researching of the process of transformation of business systems and international logistics technologies under the influence of digitalization trends, primarily artificial intelligence, in the context of the widespread introduction of Industry 4.0 conceptual approaches into economic, production and distribution cycles.In the context of the globalization of the economy and the rapid development of technology, key changes in the processes of managing integrated supply chains under the influence of digital technologies and intellige
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22

Abashidze, A. Kh, та M. Popovic. "The Dual Nature of the Influence of Artificial Intelligence in the Implementation of Human Rights: Human-Minded and International Legal Dimensions". Moscow Journal of International Law, № 2 (25 липня 2024): 19–32. http://dx.doi.org/10.24833/0869-0049-2024-2-19-32.

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INTRODUCTION. The subject of this study is achievements (results) of technology, or more precisely, products of artificial intelligence (intelligent machine; intelligent computer program, etc.) and their impact on the implementation of human rights through the prism of the human mind and in the context of the international legal, including the human rights dimension.MATERIALS AND METHODS. The scientific research is based on the work of both Russian and foreign specialists in the field of law, international law, international human rights law, as well as specialists in the regulation and use of ar
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23

Garni, Stefanie Nicole, Nando Mertineit, Gerd Nöldge, Keivan Daneshvar та Frank Mosler. "Regulatory Needs for Radiation Protection Devices based upon Artificial Intelligence". Swiss Journal of Radiology and Nuclear Medicine 5, № 1 (2024): 5. http://dx.doi.org/10.59667/sjoranm.v5i1.11.

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Artificial intelligence (AI) is increasingly employed in radiation protection, encompassing both medical devices and software. These technologies are integrated with AI throughout their manufacturing and application processes. This article underscores the imperative for comprehensive regulation in the utilization of AI. Decisions regarding AI application should not solely rest with manufacturers, medical professionals, or patients. Instead, an overarching "neutral" authority must be engaged to regulate, review, and enforce adherence to established protocols. The authors contend that relying on
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24

Thadphoothon, Janpha. "ELT in the Age of Artificial Intelligence (AI): Working with Machines". Journal of NELTA 27, № 1-2 (2022): 202–12. http://dx.doi.org/10.3126/nelta.v27i1-2.53203.

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Since 2016, the development of artificial intelligence (AI) has been strong and pervasive, including its roles in business and education. In ELT, in particular, several machine learning models have been implemented such as speech recognition, grammar correction, chatbots, and translation. ELT is in the middle of a rapid and disruptive change and the magnitude of which is paramount that we have never witnessed before. Under this situation, ELT practitioners may have to acquire additional skills and competencies so as to be relevant and thrive in this rapid change and move the field forward to the
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Diego Felipe, Arbeláez-Campillo, Villasmil Espinoza Jorge Jesus, and Rojas-Bahamón Magda Julissa. "Artificial intelligence and the human condition: Opposing entities or complementary forces?" Metaverse 2, no. 2 (2021): 9. http://dx.doi.org/10.54517/m.v2i2.1792.

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<p>In the 21st century<span style="font-family: 'Times New Roman';">,</span> artificial intelligence is constituted as a force that in many ways surpasses fiction, because in a certain way it is already present in all areas of social life, from internet search engines to determine tastes and preferences in accessing digital information, to intelligent refrigerators capable of issuing purchase orders to maintain the availability of certain foods as they run out. The aim of this essay is to analyze the possible ethical, ontological and legal issues arising from the widespread use
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Diego Felipe, Arbeláez-Campillo, Villasmil Espinoza Jorge Jesus, and Rojas-Bahamón Magda Julissa. "Artificial intelligence and the human condition: Opposing entities or complementary forces?" Metaverse 2, no. 2 (2021): 9. http://dx.doi.org/10.54517/met.v2i2.1792.

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<p>In the 21st century<span style="font-family: 'Times New Roman';">,</span> artificial intelligence is constituted as a force that in many ways surpasses fiction, because in a certain way it is already present in all areas of social life, from internet search engines to determine tastes and preferences in accessing digital information, to intelligent refrigerators capable of issuing purchase orders to maintain the availability of certain foods as they run out. The aim of this essay is to analyze the possible ethical, ontological and legal issues arising from the widespread use
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27

Rana, Humza, та Minhaj Ahmad Khan. "Detection of Malware Attacks using Artificial Neural Network". VAWKUM Transactions on Computer Sciences 11, № 2 (2023): 98–112. http://dx.doi.org/10.21015/vtcs.v11i2.1692.

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Malware attacks are increasing rapidly as the technology continues to become prevalent. These attacks have become extremely difficult to detect as they continuously change their mechanism for exploitation of vulnerabilities in software. The conventional approaches to malware detection become ineffective due to a large number of varying patterns and sequences, thereby requiring artificial intelligence-based approaches for the detection of malware attacks. In this paper, we propose an artificial neural network-based model for malware detection. Our proposed model is generic as it can be applied
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Belousov, Yu V., та O. I. Timofeeva. "Forecast of the digitalization impact on public financial management". World of new economy 16, № 4 (2023): 113–23. http://dx.doi.org/10.26794/2220-6469-2022-16-4-113-123.

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Modern digital technologies based on artificial intelligence and big data have a significant impact on many areas of the socioeconomic life of society. At present, digitalization has not affected the public financial management system to a small extent. However, this particular area has a high potential for the use of big data and artificial intelligence, as it is based on significant amounts of information, including unstructured information. At the same time, the process, mechanism and forms of the digital technologies impact on public finance management have been little studied in the scientific l
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29

Bilski, Piotr, and Jacek Wojciechowski. "Artificial intelligence methods in diagnostics of analog systems." International Journal of Applied Mathematics and Computer Science 24, no. 2 (2014): 271–82. http://dx.doi.org/10.2478/amcs-2014-0020.

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Abstract The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic filter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains
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Waked, Hayyan Nassar, S. B. Goyal, Feras Fathi Albdiwy, Masri Bin Abdul Lasi та Nurrohani binti Ahmad. "Advancing Artificial Intelligence Adoption and Decision-making with Extended Technology Acceptance Model". Journal of Computers, Mechanical and Management 3, № 4 (2024): 7–16. http://dx.doi.org/10.57159/jcmm.3.4.24137.

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Despite Kuala Lumpur’s push for AI integration, only 23% of businesses have adopted AI, lagging behind the global average of 37%, with 65% still relying on basic data tools and only 10% using advanced analytics. This study investigates the factors influencing AI adoption in Kuala Lumpur's IT sector, focusing on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Perceived Organizational Support (POS). Using the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical foundations, this study extends these frameworks by incorporating
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31

Rizal, Fathur, Fuadz Hasyim, Kamil Malik, and Yudistira Yudistira. "Implementasi Algoritma Convolutional Neural Networks (CNN) Untuk Klasifikasi Batik." COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi 2, no. 2 (2022): 40–47. http://dx.doi.org/10.33650/coreai.v2i2.3365.

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Batik adalah salah satu budaya khas Indonesia dan sudah diakui sebagai warisan budaya Internasional oleh UNESCO (The United Nations Educational, Scientific and Cultural Organization) pada tanggal 2 Oktober 2009. Batik telah menjadi warisan budaya turun temurun di seluruh Indonesia khususnya di daerah Jawa. Saat ini ada ratusan motif kain batik dari seluruh penjuru Indonesia. Banyaknya pola batik di Indonesia mengakibatkan sulitnya masyarakat mengidentifikasi motif pada batik. penelitian ini dapat mempermudah pengenalan pola batik. Salah satu teknologi kecerdasan buatan dengan sebutan artificial
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32

Harashchenko, Vadym. "Experience of legal regulation of the artificial intelligence use under the laws of foreign countries". Yearly journal of scientific articles “Pravova derzhava”, № 35 (1 вересня 2024): 884–92. https://doi.org/10.33663/0869-2491-2024-35-884-892.

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The use of artificial intelligence is becoming the most important factor in the development of any state. Legal regulation of the order of its application has become the most important task of modern foreign and Ukrainian law. Analysis of the international practice of implementing various methodological approaches and tools for measuring the digital economy, statistical data, in particular the Digital Economy and Society Index (DESI), is important from the point of view of introducing such approaches in Ukraine as well. 21 March 2024 — The United Nations General Assembly has unanimously adopte
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Yolvi, Ocaña-Fernández, Valenzuela-Fernández Luis Alex, Vera-Flores Miguel Angel, and Rengifo-Lozano Raúl Alberto. "Artificial intelligence (AI) applied to public management." Metaverse 2, no. 1 (2021): 8. http://dx.doi.org/10.54517/m.v2i1.1795.

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<p>The implementation of systems based on artificial intelligence (AI) has passed the barrier of the academic field and due to its potentialities has been developing in other fields such as public management so there is an urgent need to have an updated overview in this regard. This article aims to address the analysis of AI by highlighting its transcendence in the field of management, public administration and government, highlighting the significant opportunities, impact assessment and the potential posed by AI. The present review provides a panoramic and significative overview about AI a
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Yolvi, Ocaña-Fernández, Valenzuela-Fernández Luis Alex, Vera-Flores Miguel Angel, and Rengifo-Lozano Raúl Alberto. "Artificial intelligence (AI) applied to public management." Metaverse 2, no. 1 (2021): 8. http://dx.doi.org/10.54517/met.v2i1.1795.

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<p>The implementation of systems based on artificial intelligence (AI) has passed the barrier of the academic field and due to its potentialities has been developing in other fields such as public management so there is an urgent need to have an updated overview in this regard. This article aims to address the analysis of AI by highlighting its transcendence in the field of management, public administration and government, highlighting the significant opportunities, impact assessment and the potential posed by AI. The present review provides a panoramic and significative overview about AI a
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35

Yolvi, Ocaña-Fernández, Valenzuela-Fernández Luis Alex, Vera-Flores Miguel Angel, and Rengifo-Lozano Raúl Alberto. "Artificial intelligence (AI) applied to public management." Metaverse 3, no. 2 (2022): 8. http://dx.doi.org/10.54517/m.v3i2.1795.

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<p>The implementation of systems based on artificial intelligence (AI) has passed the barrier of the academic field and due to its potentialities has been developing in other fields such as public management so there is an urgent need to have an updated overview in this regard. This article aims to address the analysis of AI by highlighting its transcendence in the field of management, public administration and government, highlighting the significant opportunities, impact assessment and the potential posed by AI. The present review provides a panoramic and significative overview about AI a
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36

Kuteynikov, D. L., O. A. Izhaev, V. A. Lebedev та S. S. Zenin. "Privacy in the realm of Artificial Intelligence Systems Application for Remote Biometric Identification". Lex Russica, № 2 (28 лютого 2022): 121–31. http://dx.doi.org/10.17803/1729-5920.2022.183.2.121-131.

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The paper analyzes legal approaches to solving key problems of human rights implementation in the conditions of mass exploitation of artificial intelligence (AI) systems in the public space. Within the framework of the study, the emphasis is placed on the features of the legal regulation of the use of artificial intelligence systems for remote biometric identification. The use of these systems is currently only beginning to acquire a regulatory legal framework and law enforcement practice in most countries. The study analyzes several different models of legal regulation that are typical of ind
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37

Ali Salem Maharem, Tahani. "Impact of Artificial Intelligence on Human Experience in Health Care: A Systematic Review". Egyptian Journal of Health Care 15, № 3 (2024): 1544–69. https://doi.org/10.21608/ejhc.2024.407038.

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38

Brait, Maximilian, Eduard Koppensteiner, Gerhard Schindelbacher, Jiehua Li, and Peter Schumacher. "Artificial Intelligence Approaches to Determine Graphite Nodularity in Ductile Iron." Journal of Casting & Materials Engineering 5, no. 4 (2021): 94–102. http://dx.doi.org/10.7494/jcme.2021.5.4.94.

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The complex metallurgical interrelationships in the production of ductile cast iron can lead to enormous differences in graphite formation and local microstructure by small variations during production. Artificial intelligence algorithms were used to describe graphite formation, which is influenced by a variety of metallurgical parameters. Moreover, complex physical relationships in the formation of graphite morphology are also controlled by boundary conditions of processing, the effect of which can hardly be assessed in everyday foundry operations. The influence of relevant input parameters can be
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39

Besse, Philippe, Brendan Guillouet, and Béatrice Laurent. "Wikistat 2.0 : Ressources pédagogiques pour l'Intelligence Artificielle." Statistique et Enseignement 9, no. 1 (2018): 43–61. https://doi.org/10.3406/staso.2018.1383.

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Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of our university professional trainings. Which artificial intelligence is mostly concerned by the job offers ? Which methodologies and technologies should be favored in the training programs ? Which objectives, tools and educational resources do we needed to put in place to meet these pressing needs ? We answer these questions in describing the contents and operational resources in the Data Science orientation of the speci
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Meldo, A. A., L. V. Utkin та T. N. Trofimova. "Artificial intelligence in medicine: current state and main directions of development of the intellectual diagnostics". Diagnostic radiology and radiotherapy 11, № 1 (2020): 9–17. http://dx.doi.org/10.22328/2079-5343-2020-11-1-9-17.

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The main difference between artificial intelligence (AI) systems and simple automated algorithms is the ability to learn, synthesize and conclude. The AI system is trained on a set of examples, including pictures, characteristics of patients with a certain disease, then it allows to generalize a lot of such examples and get some general functional dependence, which brings in line the patient data and a certain diagnosis. The system can be named intelligent if this synthetizing ability is realized. Although the AI systems are now becoming more understood and accepted by doctors, a deeper unders
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41

Ghulam, Ali, Rahu Sikander, and Farman Ali. "AI and Machine Learning-based practices in various domains: A Survey." VAWKUM Transactions on Computer Sciences 10, no. 1 (2022): 21–41. http://dx.doi.org/10.21015/vtcs.v10i1.1257.

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In several projects in computational biology (CB), bioinformatics, health informatics(HI), precision medicine(PM) and precision agriculture(PA) machine learning(ML) has become a primary resource. In this paper we studied the use of machine learning in the development of computational methods for top five research aeras. The last few years have seen an increased interest in Artificial Intelligence (AI), comprehensive ML and DL techniques for computational method development. Over the years, an enormous amount of research has been biomedical scientists still don’t have more knowledge to handle a b
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Nepsha, F. S., V. A. Voronin та S. P. Kovalyov. "Open Data Platform as a Basis for Applying Artificial Intelligence in Electric Power Energy". Mekhatronika, Avtomatizatsiya, Upravlenie 26, № 4 (2025): 178–87. https://doi.org/10.17587/mau.26.178-187.

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The infrastructure required for collecting and distributing open data plays a vital role in the digital economy, serving as a valuable resource for fostering innovation through big data processing and artificial intelligence tech nologies. Unfortunately, several sectors, including the energy industry, lack a well-established ecosystem for implementing such innovations effectively. This paper addresses key challenges associated with the aggregation and utilization of open data in the electric power sector, while exploring potential solutions. Additionally, the paper provides a concise analysis
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Rantanen, Esa M., John D. Lee, Katherine Darveau, Dave B. Miller, James Intriligator, and Ben D. Sawyer. "Ethics Education of Human Factors Engineers for Responsible AI Development." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 1034–38. http://dx.doi.org/10.1177/1071181321651038.

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This panel discussion is third in a series examining the educational challenges facing future human factors and ergonomics professionals. The past two panels have focused on training of technical skills in data science, machine learning, and artificial intelligence to human factors students. This panel discussion expands on these topics and argues for a need of new and broader training curricula that include ethics for responsible development of AI-based systems that will touch lives of everybody and have widespread societal impacts.
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Kojo, Nusetor Setsofia, Emmanuel Kofi Acquaah, Ahadjie Bless, et al. "Leveraging AI for Environmental Sustainability and Climate Action." Asian Journal of Research in Computer Science 17, no. 12 (2024): 30–35. https://doi.org/10.9734/ajrcos/2024/v17i12527.

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This research paper explores the intersection of artificial intelligence (AI), computer science, and environmental sustainability. As climate change accelerates, innovative technologies offer promising avenues for mitigation and adaptation. Through a review of existing literature and case studies, this paper highlights the transformative potential of AI in monitoring ecosystems, optimizing energy systems, and enhancing conservation efforts. The findings underscore the importance of interdisciplinary collaboration in harnessing these technologies for sustainable development. It concludes with rec
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Padala, Venkatsai Siddesh, Kathan Gandhi, and Pushpalatha Dasari. "Machine Learning: The New Language for Applications." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 4 (2019): 411. http://dx.doi.org/10.11591/ijai.v8.i4.pp411-421.

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<p>Machine learning and artificial intelligence are becoming a major influence in various research and commercial fields. This review attempts to explain machine learning techniques and applications in various fields. Challenges and future directions are also proposed, including data analysis suggestions, effective algorithms based on the situation, industrial implementation, organization’s risk tolerance, cost-benefit comparisons and the future of machine learning techniques. Applications discussed in this paper range from technological development and health care to financial issues and s
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Stefanova, Tsvetelina, and Slavi Georgiev. "Possibilities for using AI in mathematics education." Mathematics and Education in Mathematics 53 (March 16, 2024): 117–25. http://dx.doi.org/10.55630/mem.2024.53.117-125.

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Artificial intelligence could be used as a powerful and innovative tool in mathematics education. It is poised to transform the way of learning and teaching this subject.The main objective of our study is to provide a more complete and thorough understanding of the role and impact of using AI in mathematics education by determining the trends, the AI methods, the technological applications and the opportunities for utilizing AI by teachers and students. The potential benefits and threats caused by the use of AI are also discussed.
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Kokin, A. V. "Forensic Expertise in the Era of the Fourth Industrial Revolution (Industry 4.0)." Theory and Practice of Forensic Science 16, no. 2 (2021): 29–36. http://dx.doi.org/10.30764/1819-2785-2021-2-29-36.

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The fourth industrial revolution basing on computer and information technologies, various software, hardware is rapidly gaining momentum in the modern world. First of all, these include big data processing technologies, blockchain, Internet of things, virtual and augmented reality, 3D printing, printed electronics, artificial intelligence, robotics, biotechnology. Alongside the positive effects, it is expected that the revolution will lead to some negative social consequences, including the growth of intellectual and high-tech crime. The article aims to analyze the causes and conditions of emerg
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Rivière, Jérémy, Carole Adamn та Sylvie Pesty. "Un ACA sincère, affectif et expressif comme compagnon artificiel". Revue d'intelligence artificielle 28, № 1 (2014): 67–99. http://dx.doi.org/10.3166/ria.28.67-99.

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Klimashin, A. G. "Internet-technologies as tool for personal protection during large-scale virus infections." Proceedings of the National Academy of Sciences of Belarus, Humanitarian Series 66, no. 3 (2021): 278–82. http://dx.doi.org/10.29235/2524-2369-2021-66-3-278-282.

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The article describes how internet-technologies can contribute to the protection of the individual during the spread of viral diseases or natural disasters. Remote work is largely implemented by modern internet-technologies that provide joint data processing and effective communication between members of different communities. At the same time, the communication must remain protected from leaks of personal information. Artificial intelligence actively uses in searching medicines. In this time all of this increase degree of using informational technologies and we have sharpened the range of inform
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Inguanez, Frankie. "Reviewing the Local Research-practice Gap in Industry 5.0." MCAST Journal of Applied Research & Practice 8, no. 2 (2024): 16–38. https://doi.org/10.5604/01.3001.0054.8932.

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As an institution grows its portfolio of academic programmes and research, a level of uncertainty inevitably exists amongst its stakeholders: the students, mentors, and industry alike. The role that research plays for each stakeholder varies by time and with the individual. The alignment of expectations and understanding of what good and valid research entails is not always a straightforward one, which if not addressed properly could lead to missed opportunities for further collaboration or employment. This misalignment of academic research with industry further increases the research-practice
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