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Journal articles on the topic 'The concept of Artificial Intelligence (AI)'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Solomonov, E. V. "Concept and Signs of Artificial Intelligence." Herald of Omsk University. Series: Law, no. 4 (2023): 57–65. http://dx.doi.org/10.24147/1990-5173.2023.20(4).57-65.

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Russian and foreign legislation lack a common understanding of both the essence of artificial intelligence and a unified approach to the legal definition of the concept of AI. Purpose. Analyze existing definitions of artificial intelligence, highlight the characteristics of artificial intelligence as a legal category. Formulate a definition. Methodology. The general principles of scientific knowledge (comprehensiveness, systematicity, objectivity), the general philosophical method (dialectical), general scientific methods of knowledge (comparison, ascent from the abstract to the particular), g

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Sideraki, Angeliki, and Athanasios Drigas. "Artificial Intelligence (AI) in Autism." Technium Social Sciences Journal 26 (December 9, 2021): 262–77. http://dx.doi.org/10.47577/tssj.v26i1.5208.

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This paper examines the issue of artificial intelligence and its association with autism. More specifically, at a first level, reference is made to the concept of artificial intelligence, but also to concepts that are directly related and are an extension of it. In addition, the various areas in which the use of artificial intelligence is identified are presented, while the concept of autism and its connection to technology are also analyzed. As research progresses on artificial intelligence and the diagnosis of autism. More specifically, the role of artificial intelligence is now particularly

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Marcos, Alfredo. "Information and artificial intelligence." Análisis Jurídico - Político 2, no. 3 (2020): 21–37. http://dx.doi.org/10.22490/26655489.4103.

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There is a deep discussion about the so-called artificial intelligence (AI) –which is currently fuelled by bigdata- and about its possible effects on human life. I question in this article if we could get some advantage thinking about AI by clarifying the concept of information. I will argue, in effect, that a well-developed concept of information can provide some light on what we call AI. To argue in favour of this thesis, I will first explain my approach to the notion of information. Then, I will raise in brief some deliberations about AI. We can better understand what data is by taking into

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Peter Smith, Peter Smith, and Laura Smith Peter Smith. "Artificial Intelligence (AI) and Ethics." International Journal of Computer Auditing 6, no. 1 (2024): 069–76. https://doi.org/10.53106/256299802024120601006.

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<p>AI is everywhere around us and affecting our lives in many ways, some of which we may not even be aware of. This paper discusses the advantages and disadvantages of AI and its impact upon society. The authors, Peter, and Laura are both disabled which means that, inevitably, they view AI and the ethical issues which it brings, through the lens of disabled people. However, they try as much as they can to discuss the ethical issues around AI in an unbiased manner. This commentary starts by introducing the concept of AI, the authors and their disabilities, the meanings of ethics and goes

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Jarrahi, Mohammad Hossein, Christoph Lutz, and Gemma Newlands. "Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation." Big Data & Society 9, no. 2 (2022): 205395172211428. http://dx.doi.org/10.1177/20539517221142824.

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There is little consensus on what artificial intelligence (AI) systems may or may not embrace. Although this may point to multiplicity of interpretations and backgrounds, a lack of conceptual clarity could thwart the development of common ground around the concept among researchers, practitioners and users of AI and pave the way for misinterpretation and abuse of the concept. This article argues that one of the effective ways to delineate the concept of AI is to compare and contrast it with human intelligence. In doing so, the article broaches the unique capabilities of humans and AI in relati

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Günay, Mustafa. "Artificial Intelligence and Originality in Design." ART/icle: Sanat ve Tasarım Dergisi 4, no. 3 (2025): 449–69. https://doi.org/10.56590/stdarticle.1548924.

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The Purpose of the Study: This paper addresses how artificial intelligence (AI) plays a role in the world of design and how it affects the concept of originality. The paper examines the use of AI in areas such as graphic design, logo design, painting, original designs and web design, and discusses the innovations that this technology brings to design processes. The paper also considers the positive and negative effects of AI on designers. Positive effects include the acceleration of design processes and the access to a wider creative spectrum. On the other hand, the impact of AI on originality

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Plotnikov, Sergei A., Mikhail Lipkovich, Danila M. Semenov, and Alexander L. Fradkov. "Artificial intelligence based neurofeedback." Cybernetics and Physics, Volume 8, 2019, Number 4 (December 30, 2019): 287–91. http://dx.doi.org/10.35470/2226-4116-2019-8-4-287-291.

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A new approach to the design of neurofeedback systems based on using Artificial Intelligence (AI) tools is proposed. The concept of control models of biological neural networks, and the set-up including equipment and software tools developed in IPME RAS in order to implement the proposed concept is described. as well as the AI methods and programs proposed for use.

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Germanov, Nikolai S. "The concept of responsible artificial intelligence as the future of artificial intelligence in medicine." Digital Diagnostics 4, no. 1S (2023): 27–29. http://dx.doi.org/10.17816/dd430334.

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Active deployment of artificial intelligence (AI) systems in medicine creates many challenges. Recently, the concept of responsible artificial intelligence (RAI) was widely discussed, which is aimed at solving the inevitable ethical, legal, and social problems. The scientific literature was analyzed and the possibility of applying the RAI concept to overcome the existing AI problems in medicine was considered. Studies of possible AI applications in medicine showed that current algorithms are unable to meet the basic enduring needs of society, particularly, fairness, transparency, and reliabili

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Kim, Sangyeol, and Hyuntai Kim. "Artificial intelligence(AI) Composition Technology Trends & Creation Platform." Korean Society of Culture and Convergence 44, no. 6 (2022): 207–28. http://dx.doi.org/10.33645/cnc.2022.6.44.6.207.

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this study, the technical concept of composition using artificial intelligence, which is attracting attention as a major field of the 4th industrial revolution, and the development and service cases of major platforms are studied. The purpose of this study was to find out the plan and development plan. The concept of artificial intelligence was explained, and the concepts of LSTM and RNN, which are representative data generation models used in artificial intelligence composition, and GAN, which is an adversarial generation model, were studied, and the data generation process and algorithm of a

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Shah, Yamini D., Shailvi M. Soni, and Manish P. Patel. "Artificial intelligence in healthcare." Indian Journal of Pharmacy and Pharmacology 8, no. 2 (2021): 102–15. http://dx.doi.org/10.18231/j.ijpp.2021.018.

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Artificial Intelligence (AI) is described as a field of science and engineering that is concerned with the artificial appreciation of what is generally referred to as prudent behavior and the formation of fascinations that demonstrate such conduct. AI is an expansive concept that encloses a series of advances (a considerable lot of which have been being worked on for quite a few years) that are expected to use human-like insight to handle the problems. Right now in combination with enhanced AI developments like extreme or significantly more engaged, we are experiencing a renewed enthusiasm for

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Khaleel, Mohamed, Abdussalam Ali Ahmed, and Abdulgader Alsharif. "Artificial Intelligence in Engineering." Brilliance: Research of Artificial Intelligence 3, no. 1 (2023): 32–42. http://dx.doi.org/10.47709/brilliance.v3i1.2170.

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Artificial intelligence (AI) has moved past its primitive stages and is now poised to revolutionize various fields, making it a disruptive technology. This technology is expected to completely transform traditional engineering in design, electrical, communication, and renewable energy approaches that have been human-centred. Despite being in its early stages, AI-powered engineering applications can work with vague design parameters and resolve intricate engineering problems that cannot be tackled using traditional design, electrical, communication, and renewable energy methods. This article ai

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DINGA, Emil. "Some Logical Aspects of the Concept of Artificial Intelligence." Journal of Knowledge Dynamics 1, no. 2 (2024): 21–32. https://doi.org/10.56082/jkd.2024.2.21.

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The paper proposes a logical definition of the concept of artificial intelligence (AI), based on sufficiency predicates, by moving from genus to species. The nature of the intra contingent need for AI, respectively the logical characteristics of AI, is shown. The digital/analogical relationship is discussed and, on this basis, issues in the AI "zone" such as: conscious/subconscious, free will, self-learning are examined. Finally, the issue of human protection against AI is assessed, respectively that of AI protection against humans and AI itself.

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Jalilova, S., and G. Musayeva. "ARTIFICIAL INTELLIGENCE IN PHYSICS TEACHING." Sciences of Europe, no. 157 (January 27, 2025): 46–49. https://doi.org/10.5281/zenodo.14744941.

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This paper presents a comprehensive literature review on the application of artificial intelligence in physics teaching. The purpose of the study is to explore the fundamental concepts of AI, its various applications in physics teaching, and the benefits and challenges associated with its implementation. Through a systematic search of academic databases, a collection of relevant research articles, journals, conference proceedings and books on the use of AI in physics education was assembled. The selected studies were analyzed and synthesized to develop a coherent framework for understanding th

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Schuurman, Derek C. "Virtue and Artificial Intelligence." Perspectives on Science and Christian Faith 75, no. 3 (2023): 155–61. http://dx.doi.org/10.56315/pscf12-23schuurman.

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Two questions concerning artificial intelligence (AI) and virtue are explored. The first question is whether AI is capable of virtue, and the second question explores if AI can assist humans in the acquisition of virtue. It is argued that AI cannot be a moral agent and therefore cannot genuinely be virtuous. However, AI can perform behaviors that are in accordance with virtuous behavior. The notion of "virtue-by-proxy" is introduced in which virtuous programmers can strive to design AI programs that are trained to mimic certain virtues or behave in accordance with virtue. Next, it is argued th

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Siau, Keng, and Weiyu Wang. "Artificial Intelligence (AI) Ethics." Journal of Database Management 31, no. 2 (2020): 74–87. http://dx.doi.org/10.4018/jdm.2020040105.

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Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept

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Balas, Hashim, and Reem Shatnawi. "Legal framework for AI applications." F1000Research 13 (April 29, 2024): 418. http://dx.doi.org/10.12688/f1000research.147019.1.

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Artificial intelligence (AI), the most widespread technological term, has become an integral part of human daily life. People are becoming increasingly dependent on AI-powered devices; thus, it is now essential to have a legal framework to oversee artificial intelligence's various uses and legal peculiarities. As artificial intelligence has entered all areas of life and into various sectors, which requires examining in detail the legal nature of artificial intelligence, determining the laws that must be applied to it, and identifying the people or entities responsible for it to determine the s

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Feng, Yingchao. "Artificial Intelligence-Assisted Product Design: From Concept to Prototype." Journal of Progress in Engineering and Physical Science 3, no. 4 (2024): 95–104. https://doi.org/10.56397/jpeps.2024.12.13.

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This paper employs a combination of qualitative and quantitative research methods to delve into the application of Artificial Intelligence (AI) in the field of product design and its impact on the design process. Through case studies, this paper analyzes the practical application of AI technology in smart home devices, aerodynamic optimization of electric vehicles, and personalized design of medical devices, revealing how AI-assisted design enhances design efficiency, innovation capabilities, and user experience. The research results indicate that AI technology significantly improves the effic

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Dayal, Aryeshwar. "Artificial Intelligence and Artificial Stupidity: The Inseparables." International Journal of Computer Science and Mobile Computing 13, no. 10 (2024): 54–57. http://dx.doi.org/10.47760/ijcsmc.2024.v13i10.006.

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Artificial intelligence (AI) has long been heralded for its ability to simulate human intelligence, enabling machines to perform complex tasks such as decision-making, problem-solving, and data analysis. However, alongside the advancements in AI, the concept of artificial stupidity (AS) has gained attention. AS refers to the limitations and errors made by AI systems, often resulting from incomplete data, biased algorithms, or the inherent restrictions placed on AI to simulate more human-like decision-making. These instances of "stupidity" can lead to nonsensical or harmful outcomes, especially

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Park, Jisoo. "Appeared in AI educational books for lower grades AI content element analysis and critical review." Korean Society for Artificial Intelligence Ethics 3, no. 1 (2024): 9–23. http://dx.doi.org/10.59728/jaie.2024.3.1.9.

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In this study, we attempted to analyze the AI literacy content elements found in artificial intelligence textbooks, focusing on educational books for lower grades, and seek a direction for developing artificial intelligence educational books for lower grades through critical consideration. As a result of this study, it was found that there was some bias in the proportion of common areas of elementary school artificial intelligence education subjects shown in artificial intelligence literacy education books for lower grades. Elementary schools are places where basic artificial intelligence lite

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Ryzheva, Nadiia, Dmytro Nefodov, Svіtlana Romanyuk, Hanna Marynchenko, and Mariia Kudla. "Artificial Intelligence in higher education: opportunities and challenges." Revista Amazonia Investiga 13, no. 73 (2024): 284–96. http://dx.doi.org/10.34069/ai/2024.73.01.24.

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The article reveals the meaning of the concept of artificial intelligence and proves the necessity of its application in the educational space. The purpose of the article is to show the importance of artificial intelligence as an educational and entertainment tool in higher education. The methodological concept is aimed at ensuring the effectiveness of students' education with the help of artificial intelligence. The research results show the types (weak and strong), directions, functions of artificial intelligence; the importance of edutainment in higher education and its main principles are

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Asatiani, Aleksandre, Pekka Malo, Per Rådberg Nagbøl, Esko Penttinen, Tapani Rinta-Kahila, and Antti Salovaara. "Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems." Journal of the Association for Information Systems 22, no. 2 (2021): 325–52. http://dx.doi.org/10.17705/1jais.00664.

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The paper presents an approach for implementing inscrutable (i.e., nonexplainable) artificial intelligence (AI) such as neural networks in an accountable and safe manner in organizational settings. Drawing on an exploratory case study and the recently proposed concept of envelopment, it describes a case of an organization successfully “enveloping” its AI solutions to balance the performance benefits of flexible AI models with the risks that inscrutable models can entail. The authors present several envelopment methods—establishing clear boundaries within which the AI is to interact with its su

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Bortolini, Vanessa Schmidt, and Cristiano Colombo. "Artificial Intelligence in Medicine." Brazilian Journal of Law, Technology and Innovation 2, no. 1 (2024): 71–89. http://dx.doi.org/10.59224/bjlti.v2i1.71-89.

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The article's theme centers on the ethical and legal challenges inherent in the intersection of Artificial Intelligence (AI) and Medicine. Avidya, a fundamental concept in Buddhism, symbolizes the nature of reality as a blind man navigating with a cane, embodying a lack of profound understanding of reality. This analogy is used to illustrate our endeavor to transcend mere groping in the dark, aiming for a deeper comprehension that transforms blindness into a catalyst for enhancing other senses. In this context, AI brings us closer to the emerging paradigm of “4P medicine,” characterized as pre

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Nedilko, Bohdan. "CONCEPT AND MAIN CHARACTERISTICS OF ARTIFICIAL INTELLIGENCE: DOMESTIC AND FOREIGN APPROACHES." Modern scientific journal 5, no. 3 (2024): 15–21. https://doi.org/10.36994/2786-9008-2024-5-2.

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This article examines thecurrent issues of the development of artificial intelligence (AI) since the middle of the ХХ century and focuses attention on the formation of scientific prerequisites and the definition of the main concepts that were defined by domestic and foreign researchers. AI is defined as the ability of machines and computer systems to perform tasks that normally require human intelligence, such as learning, decision-making, and data analysis.Attention is paid to various approaches to the definition of AI, from scientific to technical. Different interpretations of artificial int

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Yadav, Narendra, Latika Sharma, and Urmila Dhake. "Artificial Intelligence: The Future." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–10. http://dx.doi.org/10.55041/ijsrem27796.

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Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. AI is not a new for the scientist, it was introduce in 1943 with artificial neurons model and get popular in 1950 due to “Turting test” the test was done to get answer that machine can think?, purposed by Alan Turing. Basically AI is categorized into three types, Artificial Narrow Intelligence, Artificial General Intelligence and

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Kikelomo Fadilat Anjorin, Mustafa Ayobami Raji, Hameedat Bukola Olodo, and Oluwaseun Peter Oyeyemi. "Harnessing artificial intelligence to develop strategic marketing goals." International Journal of Management & Entrepreneurship Research 6, no. 5 (2024): 1625–50. http://dx.doi.org/10.51594/ijmer.v6i5.1127.

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In today's rapidly evolving business landscape, harnessing artificial intelligence (AI) has become imperative for organizations striving to remain competitive. This concept paper explores the integration of AI in developing strategic marketing goals, aiming to provide a comprehensive framework for leveraging AI's capabilities effectively. The paper begins by outlining the current state of AI in marketing, highlighting its transformative potential across various facets such as customer segmentation, personalized targeting, predictive analytics, and automation. It underscores the necessity for b

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Balıkçı, Hasan Celal, Mustafa Alpsülün, and Gülseren Hayoğlu. "Determination of Teachers' Perceptions of Artificial Intelligence Concept: A Metaphor Analysis." Sakarya University Journal of Education 14, Special Issue-AI in Education (2024): 179–93. http://dx.doi.org/10.19126/suje.1433360.

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This research sought to explore educators’ views on Artificial Intelligence (AI), a topic that has become increasingly important with the advent of recent digital transformations. Given its potential impact on education, AI can offer valuable insights for curriculum planning and teaching strategies. The study used metaphor analysis to understand educators' perspectives on AI. An online questionnaire was employed to collect data from teachers working in schools affiliated with the Ministry of National Education in Şanlıurfa in the 2023-2024 academic year. Teachers were asked to complete the sen

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Dudek, Angelika, Anna Dąbek, Iwona Zborowska, and Jakub Lichosik. "Integrating artificial intelligence in forensic science." E-methodology 10, no. 10 (2024): 15–28. http://dx.doi.org/10.15503/emet2023.15.28.

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Thesis. The thesis of this article is to explore the integration of artificial intelligence (AI) methodology in forensic science. An assessment of the potential implications of AI for improving investigative processes and outcomes will also be addressed. Concept. The concept focuses on exploring the application of AI technologies in ar- eas of science such as analysing evidence recognising patterns and supporting decision- making systems. The article emphasises the practical use of AI algorithms in investiga- tions. on exploring how artificial intelligence technologies can be implemented in va

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Mikelionienė, Jurgita, and Artemii Ponomarevskyi. "The Artificial Intelligence-related Superordinate Concepts and Terminological Variation in the English and Ukrainian Languages." Slavistica Vilnensis 69, no. 1 (2024): 87–102. http://dx.doi.org/10.15388/slavviln.2024.69(1).6.

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This research is aimed at analyzing the artificial intelligence-related superordinate concepts in the English and Ukrainian languages and explaining the relevance of using terminological variations from the field of artificial intelligence (AI) in a particular context on the example of translation from English (EN) into Ukrainian (UK). The essence of terminological variation as a linguistic phenomenon and possible reasons for its emergence are described. Terminological variants in the newly established field of artificial intelligence appear either in both EN and UK, or in one of those due to

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Lichtenthaler, Ulrich. "Extremes of acceptance: employee attitudes toward artificial intelligence." Journal of Business Strategy 41, no. 5 (2019): 39–45. http://dx.doi.org/10.1108/jbs-12-2018-0204.

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Purpose The purpose of this paper is to present paradoxical employee attitudes towards interacting with artificial intelligence (AI). Design/methodology/approach This is a conceptual paper, which builds on prior research, especially on the widely accepted notion of not-invented-here attitudes in technology adoption. Findings Many companies experience barriers in implementing AI owing to negative attitudes among their employees. This paper develops the concept of no-human-interaction attitudes, which describe employees’ preference to collaborate with real humans rather than having virtual colle

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Wiwudha, Nayaka Inabhimantra, Q'dham Zainal Bahri, and Pashya Nanda Mutya. "Reconstruction of Artificial Intelligence Ethics in Tariq Ramadan's Perspective." Journal of Islamic Thought and Philosophy 3, no. 2 (2024): 252–72. https://doi.org/10.15642/jitp.2024.3.2.252-272.

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This research discusses AI Ethics, which arises from the rapid development of AI that creates various problems. Meanwhile, Tariq Ramadan's Ethical Concept, based on Maqashid Asy-Syari'ah, has pluralistic and inclusive values. This ethic becomes a new perspective that can be applied to AI. This research uses a qualitative approach with the library research method (literature sources). The research results show that AI is the ability of computational systems to perform tasks of human intelligence. AI was initially designed to resemble human intelligence as closely as possible, even to match it.

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Elena, Vvedenskaya. "Criticism of Artificial Intelligence: Philosophical Optics." TECHNOLOGOS, no. 1 (2025): 87–97. https://doi.org/10.15593/perm.kipf/2025.1.07.

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The article examines the philosophical aspects of artificial intelligence (AI) through the prism of the teachings of Avicenna, Descartes, and Kant. An analysis of Avicenna's teaching about the universals underlying human thinking allows for a deeper understanding of the limitations of modern technologies in reproducing abstract concepts. Avicenna believed that man is endowed with the ability to think universals, extracting general principles and applying them in various contexts. The ability to abstract, to operate with categories, allows a person to apply general principles in a variety of si

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Baum, Seth D. "Medium-Term Artificial Intelligence and Society." Information 11, no. 6 (2020): 290. http://dx.doi.org/10.3390/info11060290.

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There has been extensive attention to near-term and long-term AI technology and its accompanying societal issues, but the medium-term has gone largely overlooked. This paper develops the concept of medium-term AI, evaluates its importance, and analyzes some medium-term societal issues. Medium-term AI can be important in its own right and as a topic that can bridge the sometimes acrimonious divide between those who favor attention to near-term AI and those who prefer the long-term. The paper proposes the medium-term AI hypothesis: the medium-term is important from the perspectives of those who

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Aygün, Sultanova Haji gizi. "DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE." Annali d'Italia 66 (April 29, 2025): 83–85. https://doi.org/10.5281/zenodo.15303068.

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Artificial intelligence is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand, and translate spoken and written language, analyze data, make recommendations, and more.One of the distinguishing advantages of AI is its ability to automate repetitive tasks, thereby freeing up human resources for more strategic efforts. AI-powered tools can handle everything from data entry to complex data analysis and predictive maintenance. AI technology promises significant benefits for businesses, including customer improvement, data

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Cichocki, Andrzej, and Alexander P. Kuleshov. "Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles." Computational Intelligence and Neuroscience 2021 (February 20, 2021): 1–21. http://dx.doi.org/10.1155/2021/8893795.

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This article discusses some trends and concepts in developing a new generation of future Artificial General Intelligence (AGI) systems which relate to complex facets and different types of human intelligence, especially social, emotional, attentional, and ethical intelligence. We describe various aspects of multiple human intelligences and learning styles, which may affect a variety of AI problem domains. Using the concept of “multiple intelligences” rather than a single type of intelligence, we categorize and provide working definitions of various AGIs depending on their cognitive skills or c

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Lichtenthaler, Ulrich. "Beyond artificial intelligence: why companies need to go the extra step." Journal of Business Strategy 41, no. 1 (2020): 19–26. http://dx.doi.org/10.1108/jbs-05-2018-0086.

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Purpose The purpose of this paper is to underscore the need for developing a meta-intelligence in companies based on a conceptual framework for combining artificial and human intelligence. Design/methodology/approach This is a conceptual paper, which draws on the insights from extant theoretical and empirical research. Findings In light of a growing trend towards artificial intelligence (AI), most companies face substantial difficulties, which often derive from an excessive emphasis on merely replacing human intelligence by means of AI. To capture the complementary benefits of artificial and h

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Hui, Yuk. "On the Limit of Artificial Intelligence." Philosophy Today 65, no. 2 (2021): 339–57. http://dx.doi.org/10.5840/philtoday202149392.

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This article asks how can we articulate the limit of artificial intelligence, which virtually has no limit? Or maybe the definition of AI already implies its limit, how Marvin Minsky once declared that there is no generally accepted theory of intelligence, and that AI is only one particular way of modelling it. This article revisits the debate between Minsky and Hubert Dreyfus and repositions them in terms of an opposition between mechanism and organism, in order to expose the limit of Dreyfus’s Heideggerian critique. It suggests reflecting on the relation between noodiversity and technodivers

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Bulgakova, Daria. "The Prohibited Artificial Intelligence Practice." Theory and Practice of Forensic Science and Criminalistics 32, no. 3 (2023): 89–112. http://dx.doi.org/10.32353/khrife.3.2023.06.

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The research strives to provide a comprehensive understanding of the regulation of Artificial Intelligence (AI), known as the AI act of the European Union, with a specific focus on the regulatory challenges related to the prohibition of AI systems that deploy subliminal techniques. To achieve this, the author proposes the perspective of metaverse to enhance the user experience and biometric psychography to avoid reality eye-tracking-based models. However, the current AI act needs to be prepared to address biometrics, which merely repeats the GDPR, giving a hand to AI market growth. Regardless,

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Hołub, Grzegorz. "Artificial intelligence: asking about its ontological status." Logos i Ethos 30, no. 2 (2024): 97–114. https://doi.org/10.15633/lie.30205.

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The article deals with the ontological status of AI. Is this a person or a thing or maybe an entity between the human and material worlds? The concept of borderline person is considered as to a possible conceptual place to adopt AI and its future realizations. The concept of the borderline person was originally coined in bioethical research with an application to higher animals. In the post-Lockean understanding of the person the borderline person is an inclusive term and it leads to treating AI as if it were a person. In the post-Boethian philosophy of the human person, the borderline person

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Singh, Om Prakash. "Artificial Intelligence and Psychoanalysis: A New Concept of Research Methodology." NPRC Journal of Multidisciplinary Research 1, no. 1 (2024): 19–27. http://dx.doi.org/10.3126/nprcjmr.v1i1.69012.

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The recent high performance of ChatGPT on several standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education. As deep learning is poised to shift the teaching paradigm, it is essential to have a clear understanding of its effects on the current education system to ensure sustainable development and deployment of AI-driven technologies at schools and universities. Hence, AI behavior cannot be fully understood without human and social sciences. After the imaginary and symbolic registers, AI is the third register

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Berberich, Nicolas, Toyoaki Nishida, and Shoko Suzuki. "Harmonizing Artificial Intelligence for Social Good." Philosophy & Technology 33, no. 4 (2020): 613–38. http://dx.doi.org/10.1007/s13347-020-00421-8.

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Abstract To become more broadly applicable, positions on AI ethics require perspectives from non-Western regions and cultures such as China and Japan. In this paper, we propose that the addition of the concept of harmony to the discussion on ethical AI would be highly beneficial due to its centrality in East Asian cultures and its applicability to the challenge of designing AI for social good. We first present a synopsis of different definitions of harmony in multiple contexts, such as music and society, which reveals that the concept is, at its core, about well-balanced relationships and appr

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D., P. Deshmukh, R. Yerawar G., U. Rahangdale V., and L. Gadre A. "AI in Physics: A Concept of Modern Era." International Journal of Advance and Applied Research S6, no. 18 (2025): 771–75. https://doi.org/10.5281/zenodo.15266565.

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<em>The exploration of physics is shaping a new approach to artificial intelligence (AI) discovery. By leveraging data, knowledge, prior information, and fundamental laws, physics has provided valuable insights into the AI paradigm across various scales of matter, energy, and space-time. Simultaneously, AI draws from and contributes to the principles of physics to enhance its own advancement. This article will explore the relationship between AI and key areas of physics, including classical mechanics, electromagnetism, statistical physics, and quantum mechanics. Also, Artificial intelligence (

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MYKYTENKO, Nelya, and Svitlana RZAIEVA. "Application of artificial intelligence in retail." INTERNATIONAL SCIENTIFIC-PRACTICAL JOURNAL COMMODITIES AND MARKETS 50, no. 2 (2024): 4–20. http://dx.doi.org/10.31617/2.2024(50)01.

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In the context of the contemporary Industry 4.0 concept, artificial intelligence (AI) has become an integral component of human lifeʼs success, the impact of which is increasingly difficult to overestimate today. With the advent of AI, the everyday life of individuals has noticeably transformed. Neural networks are capable of working in an algorithmic way, adapt, learn, and even generate new inventions within a short span of time. Since the concept of AI appeared, fervent debates have revolved around its advantages and opportunities for modern society, ethical frameworks of application, ris

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Tei, S., and J. Fujino. "Artificial intelligence, Internet addiction, and palliative care." European Psychiatry 67, S1 (2024): S339. http://dx.doi.org/10.1192/j.eurpsy.2024.700.

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IntroductionRecent advances in artificial intelligence (AI) have recaptured and revised the essential roles of death in life and mind. However, their prospects and risks require further study. Because of the development of digital technologies (for example, AI-based chatbots), the process of bereavement may have become complex, immersive, and even addictive. Furthermore, AI-enabled generation of medical notes can ease the administrative burden for healthcare professionals; however, the clinical application of generative AI remains largely speculative.ObjectivesThis study aimed to illuminate th

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Darwish, Ashraf. "Explainable Artificial Intelligence: A New Era of Artificial Intelligence." Digital Technologies Research and Applications 1, no. 1 (2022): 1. http://dx.doi.org/10.54963/dtra.v1i1.29.

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Recently, Artificial Intelligence (AI) has emerged as an emerging with advanced methodologies and innovative applications. With the rapid advancement of AI concepts and technologies, there has been a recent trend to add interpretability and explainability to the paradigm. With the increasing complexity of AI applications, their a relationship with data analytics, and the ubiquity of demanding applications in a variety of critical applications such as medicine, defense, justice and autonomous vehicles , there is an increasing need to associate the results with sound explanations to domain exper

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Sorokina, Svetlana. "Artificial Intelligence in Interdisciplinary Linguistics." Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 2023, no. 3 (2023): 267–80. http://dx.doi.org/10.21603/2542-1840-2023-7-3-267-280.

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Artificial intelligence (AI) is becoming an integral part of various scientific disciplines, industries, and everyday life. AI studies cover quite a number of scientific fields, and the topic needs an integrated and convergent approach to address its multifaceted challenges. This paper provides an extensive survey of existing approaches to define and interpret the AI concept. The research objective was to identify the invariant characteristics of AI that underscore its interdisciplinary nature. The article categorizes the primary drivers, technologies, and key research models that fuel the adv

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Arya, Kumar Goypal, G. Astagi Harshavardhan, V. Bharath, Bhardwaj MS Krishna, Rajesh Kumar Saha Dr., and NR Dr.Deepak. "Implementation of Emotions in Artificial Intelligence." Journal of Research in Artificial Neural Network Systems 1, no. 1 (2025): 15–20. https://doi.org/10.5281/zenodo.14864276.

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<em>The integration of emotions into Artificial Intelligence (AI) systems has gained increasing attention in recent years, with applications ranging from human-computer interaction to healthcare. The concept of Emotion AI, or Affective Computing, allows AI systems to recognize, simulate, and respond to human emotions, making interactions more natural and empathetic. This paper explores the state-of-the-art methods used in emotion recognition, the diverse applications of emotion-aware AI, and the challenges and ethical concerns associated with its development. The research focuses on techniques

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Bhardwaj, Abhaya, Shristi Kishore, and Dhananjay K. Pandey. "Artificial Intelligence in Biological Sciences." Life 12, no. 9 (2022): 1430. http://dx.doi.org/10.3390/life12091430.

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Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined. As the field of AI matures with more trained algorithms, the potential of its application in epidemiology, the study of host–pathogen interactions and drug designing widens. AI is now being applied in several fields of drug discovery, customized medicine, gene editing, radiography, imag

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Grinin, Leonid, Anton Grinin, and Igor Grinin. "The Evolution of Artificial Intelligence: From Assistance to Super Mind of Artificial General Intelligence? Article 2. Artificial Intelligence: Terra Incognita or Controlled Force?" Social Evolution & History 23, no. 2 (2024): 165–89. http://dx.doi.org/10.30884/seh/2024.02.07.

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The article is devoted to the history of the development of ICT and AI, their current and expected future achievements, and the problems (which have already arisen but will become even more acute in the future) associated with the development of these technologies and their widespread application in society. It shows the close connection between the development of AI and cognitive science, the penetration of ICT and AI into various spheres, particularly health care, and the very intimate areas related to the creation of digital copies of the deceased and posthumous contact with them. A signifi

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Reggia, James A., Garrett E. Katz, and Gregory P. Davis. "Artificial Conscious Intelligence." Journal of Artificial Intelligence and Consciousness 07, no. 01 (2020): 95–107. http://dx.doi.org/10.1142/s270507852050006x.

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The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a

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Shaoxue, Jia. "Artificial Intelligence Governance and China’s Experience under the Community of Common Destiny for Mankind Concept." Legal Issues in the Digital Age 4, no. 3 (2023): 81–96. http://dx.doi.org/10.17323/2713-2749.2023.3.81.96.

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In recent years artificial intelligence (AI), backed by big data and the Internet, hasbeen rapidly developing and determining the future direction of the world’s scienceand technology development. Although artificial intelligence is beneficial to the scientific and technological revolution and industrial modernization of mankind, it hasalso brought new risks. People pay more and more attention to the potential risks ofartificial intelligence that should be effectively managed. Artificial intelligence risksare characterized by the diversity of technological threats, the similarity of AI risksfa

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