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Journal articles on the topic 'Weak and Strong AI'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Raikov, A. N. "Weak vs strong artificial intelligence." Informatization and communication, no. 1 (March 31, 2020): 81–88. http://dx.doi.org/10.34219/2078-8320-2020-11-1-81-88.

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It is proposed to distinguish between the traditional, so-called, weak, artificial intelligence (AI) and strong artificial intelligence, or artificial general intelligence (AGI). The latter is not considered as the evolutionary stage of the development of AI, but something else related to the construction of an informal and non-causal phenomenological space, as a kind of opposite to AI. AGI is determined by inverse problems solving on topologies, using analogies of quantum physics and optics, connecting aspects of relativistic theory. It is noted that the AGI continual power is tens of orders

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Kim, Jinsok. "The Problem of Distinction Between ‘weak AI’ and ‘strong AI’." Journal of The Society of philosophical studies 117 (June 30, 2017): 111–37. http://dx.doi.org/10.23908/jsps.2017.06.117.111.

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Tarasov, Alexey A. "The threat of convergence of “strong AI” and “weak AI”." Digital Scholar: Philosopher`s Lab 7, no. 1 (2024): 48–55. https://doi.org/10.32326/2618-9267-2024-7-1-48-55.

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The article is devoted to the hype that surrounds artificial intelligence (AI) today, which can be compared with a virus attack, or more precisely with the spread of a meme. So, Bruno Latour would definitely agree that the mutation of the virus is creativity. We usually do not recognize any intelligence behind viruses or bacteria. Only as a figure of speech. Thus, it is shown that the problem of AI is a problem of pantheism, that is, anti-intellectualism of AI. For example, today AI is implemented primarily in the form of constructing a “smart” environment in which more and more stupid people

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Li, Yongqi, Xin Miao, Mayi Xu, and Tieyun Qian. "Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27437–45. https://doi.org/10.1609/aaai.v39i26.34955.

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The super-alignment problem of how humans can effectively supervise super-human AI has garnered increasing attention. Recent research has focused on investigating the weak-to-strong generalization (W2SG) scenario as an analogy for super-alignment. This scenario examines how a pre-trained strong model, supervised by an aligned weak model, can outperform its weak supervisor. Despite good progress, current W2SG methods face two main issues: 1) The annotation quality is limited by the knowledge scope of the weak model; 2) It is risky to position the strong model as the final corrector. To tackle t

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Englert, Roman, and Jörg Muschiol. "Numerical Evidence That the Power of Artificial Neural Networks Limits Strong AI." Advances in Artificial Intelligence and Machine Learning 02, no. 02 (2022): 338–46. http://dx.doi.org/10.54364/aaiml.2022.1122.

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A famous definition of AI is based on the terms weak and strong AI from McCarthy. An open question is the characterization of these terms, i.e., the transition from weak to strong. Nearly no research results are known for this complex and important question. In this paper we investigate how the size and structure of a Neural Network (NN) limits the learnability of a training sample, and thus, can be used to discriminate weak and strong AI (domains). Furthermore, the size of the training sample is a primary parameter for the training effort estimation with the big O function. The needed trainin

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Kumar, Neeraj Sachdev, and Mehra Aryan. "An Exploration of Philosophical Ideas of Select Thinkers in Artificial Intelligence." International Journal of Social Science And Human Research 05, no. 12 (2022): 5455–57. https://doi.org/10.5281/zenodo.7417694.

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We attempt to explore the presence and working of philosophical ideas of select thinkers in the whole architecture of artificial intelligence. This exploration delves into the philosophical connections relating to the proof of the existence of artificial intelligence. It further examines the philosophical perspectives of strong and weak versions of artificial intelligence, language processing and the inner working of artificial intelligence itself.

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Dziatkovskii, A. "ERGONOMICS: THE POSSIBILITIES OF AI, ZKP AND ML." Norwegian Journal of development of the International Science, no. 107 (April 26, 2023): 69–70. https://doi.org/10.5281/zenodo.7878462.

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<strong>Abstract</strong> <strong>The directions of changes in ergonomics, which accompany the inclusion of artificial intelligence in the "human-machine" system, are considered. The problems of "weak" and "strong" artificial intelligence in ergonomics are presented.</strong>

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Lang, Hao, Fei Huang, and Yongbin Li. "Debate Helps Weak-to-Strong Generalization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27410–18. https://doi.org/10.1609/aaai.v39i26.34952.

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Common methods for aligning already-capable models with desired behavior rely on the ability of humans to provide supervision. However, future superhuman models will surpass the capability of humans. Therefore, humans will only be able to weakly supervise superhuman models. This expected deficiency of human evaluation would weaken the safety of future AI systems. Scalable oversight and weak-to-strong generalization are two complementary approaches to tackle this issue. In this paper, we attempt to combine the strengths of these two approaches to further improve alignment. Specifically, we inve

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Falev, Egor V. "The Concept of Artificial Intelligence and its Prospects from the Perspective of the Living Ethics’ Philosophy." Voprosy Filosofii, no. 10 (2021): 175–86. http://dx.doi.org/10.21146/0042-8744-2021-10-175-186.

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The article considers the concept of artificial intelligence (AI) using categories and basic principles of the consciousness theory developed in the Living Ethics (LE). The latter is a modern form of the ancient tradition of exploring consciousness in Indian philosophy and spiritual practice. Categorial apparatus of Indian philosophy contains rich variety of distinction which may be successfully implemented also in the modern cognitive researches. The article shows that more precise definitions of the basic concepts allow to fulfill strict delimitation between “strong” and “weak” AI as well

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Kyrnis, Nataliia. "Application of Artificial Intelligence in the Restaurant Business." Restaurant and Hotel Consulting. Innovations 7, no. 1 (2024): 111–22. https://doi.org/10.31866/2616-7468.7.1.2024.305960.

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<strong>Actuality.</strong> Nowadays, the development of artificial intelligence affects the activities of all human life spheres, and the restaurant business as well. It can be explained by the fact that restaurant business enterprises are very sensitive to changes in the environment, and they need to constantly improve their activities for competitive functioning. It is artificial intelligence that will allow to work effectively in the market of restaurant services, influencing the demand and increasing the income. Therefore, the topic of application and implementation of artificial int

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Belov, V. N., and S. A. Malofeikin. "Models for Explaining Consciousness in the Context of the Problem of Determining the Strong Form of AI." Humanities and Social Sciences. Bulletin of the Financial University 14, no. 4 (2024): 89–100. https://doi.org/10.26794/2226-7867-2024-14-4-89-100.

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The article attempts to complement the modern problems of highlighting the criteria of strong AI through discussions in the field of philosophy of consciousness. The popular ideas of D. Dennett (“multiple sketches”), J. Searle (causal emergent description) and D. Chalmers (synthetic approach to understanding consciousness) are compared with the history of the formation of the AI problem. Despite the wide discussion of the problems of consciousness and artificial forms of intelligence (strong and weak), the theories and arguments of philosophers about the psychophysiological problem remain rele

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Tabaczek, Mariusz. "Virtuous AI?" Forum Philosophicum 29, no. 2 (2024): 371–89. https://doi.org/10.35765/forphil.2024.2902.08.

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This paper offers an Aristotelian-Thomistic response to the question whether AI is capable of developing virtue. On the one hand, it could be argued that this is possible on the assumption of the minimalist (thin) definition of virtue as a stable (permanent) and reliable disposition toward an actualization of a given power in the agent (in various circumstances), which effects that agent’s growth in perfection. On the other hand, a closer inquiry into Aquinas’s understanding of both moral and intellectual virtues, and a more detailed analysis of the ontological status of AI, show that it is hi

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Gramelsberger, Gabriele. "Superhuman AI." Philosophisches Jahrbuch 130, no. 2 (2023): 81–91. http://dx.doi.org/10.5771/0031-8183-2023-2-81.

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The modern program of operationalizing the mind, from Descartes to Kant, in the form of the externalization of human mind functions in logic and calculations, and its continuation in the program of formalization from the middle of the 19th century with Boole, Peirce and Turing, have led to the form of rationality that has become machine rationality: the digital computer as a logical-mathematical machine and algorithms as machine-rational interpretations of human thinking in the form of problem solving and decision making. The modern program of the operationalization of the mind can be understo

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Cerwenka, Alexander, Joerg Brandner, Juergen Geist, and Ulrich Schliewen. "Strong versus weak population genetic differentiation after a recent invasion of gobiid fishes (Neogobius melanostomus and Ponticola kessleri) in the upper Danube." Aquatic Invasions 9, no. 1 (2014): 71–86. http://dx.doi.org/10.3391/ai.2014.9.1.06.

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Kumar Avizeet. "Enhancing Patient Care with AI-Driven Remote Monitoring and Predictive Alerts." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3155–69. https://doi.org/10.32628/cseit2511128.

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Due to advancements in Artificial Intelligence (AI), its use in developing disease detection algorithms has surged. AI offers major benefits across various sectors like automotive, finance, IT, and pharmaceuticals. It is categorized into strong AI, which operates independently of human input, and weak AI, reliant on rules to make informed decisions. This essay focuses on weak AI, which enhances decision-making probabilities and finds application in healthcare. Healthcare is critical for individuals needing immediate medical attention. It interacts with other fields, including pharmaceuticals a

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Yang, Yue. "The Study of Copyright Infringement Liability of Generative Artificial Intelligence." Lecture Notes in Education Psychology and Public Media 34, no. 1 (2024): 88–95. http://dx.doi.org/10.54254/2753-7048/34/20231893.

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As AI continues to produce content at an unprecedented rate, it is essential to establish a robust legal framework to protect the rights of creators and appropriately assign liability in cases of copyright infringement. Generative AI technology has the characteristics of high data demand, strong human-computer interaction, weak interpretability, and weak stability. The main civil subjects in generative AI services are generative AI service providers and users. In the pre-training stage, if generative AI uses copyrighted works without authorization, it should be recognized as copyright infringe

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Горохова, Светлана. "ON THE ISSUE OF THE NEED FOR THE INSTITUTION OF LEGAL PERSONALITY OF ARTIFICIAL INTELLIGENCE AT THE PRESENT DEVELOPMENT STAGE OF THE RULE-OF-LAW STATE." Rule-of-law state: theory and practice 16, no. 3 (2020): 23–33. http://dx.doi.org/10.33184/pravgos-2020.3.3.

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An urgent problem of transforming Russian legal system at the present stage of its development is to find an optimal balance in determining fundamental approaches to the legal regulation of public relations complicated by cyberphysical systems, artificial intelligence, various types of robots and robotics objects, as well as to consider the possibility of giving legal personality to weak and strong artificial intelligence in various branches of law and legislation. Purpose: analysis of the issues related to determining the legal status of artificial intellectual systems, taking into account mo

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Norets, Maksim V., and Nadezhda K. Norets. "Fundamentals of AI formation: Cognitive theory of pseudo-personality." Alma mater. Vestnik Vysshey Shkoly, no. 2 (February 2024): 70–75. http://dx.doi.org/10.20339/am.02-24.070.

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The rapid development of digital intelligence forms the necessity to state the rules of its functioning, since digital intelligence itself goes through certain stages of its development, the so-called maturation. Currently, the use and functioning of artificial intelligence (AI) is practically not regulated anyhow. Ethical difficulties arise: does artificial intelligence have the right to write speeches and reports for political leaders? Will ethical issues arise when artificial intelligence and humans-beings interact? It should be taken into account that not every AI is thinking. In the proce

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Lee, Dr Yoochul. "Critique of Artificial Reason: Ontology of Human and Artificial Intelligence." Journal of Ecohumanism 4, no. 3 (2025): 397–415. https://doi.org/10.62754/joe.v4i3.6716.

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This study delves into the philosophical implications of artificial intelligence (AI) and its divergence from human cognition. As AI becomes a central force in global technological advancement, concerns arise about its potential to surpass human control. Historically, debates have focused on strong vs. weak AI, often rooted in human-centric perspectives. This research challenges these views, proposing that AI's distinct nature from human intelligence is not a limitation but a strength. By exploring the metaphysical assumptions and ontological differences between humans and AI, this study aims

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Горохова, Светлана. "ON SOME LEGAL APPROACHES TO DETERMINING THE LEGAL PERSONALITY OF ARTIFICIAL INTELLECTUAL SYSTEMS." Rule-of-law state: theory and practice 16, no. 4-1 (2020): 31–42. http://dx.doi.org/10.33184/pravgos-2020.4.4.

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The issues of determining the place of artificial intellectual systems in the structure of new legal relations determined by the level of technological development are one of the most urgent tasks of modern Russian law today. The most important problem, determined by the requirements of law enforcement and the need to comply with the requirements of building of the rule-of-law state, is the study of fundamental positions regarding the conditions and procedure for bringing subjects to legal responsibility for torts involving artificial intelligence (AI). Purpose: to analyze approaches to the de

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De Bartolo Villar, Lautaro Ezequiel, Matias Baldoncini, Alvaro Campero, and Mickaela Echavarria Demichelis. "Development of an artificial intelligence-based convolutional neural network for sellar barrier classification using magnetic resonance imaging." Surgical Neurology International 16 (May 9, 2025): 174. https://doi.org/10.25259/sni_303_2025.

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Background: This study aims to develop an artificial intelligence (AI) model using convolutional neural networks and transfer learning to classify sellar barriers as strong, mixed, or weak based on magnetic resonance imaging (MRI). Accurate classification is essential for surgical planning in endoscopic endonasal approaches for pituitary adenomas, as variations in the sellar barrier can lead to complications such as cerebrospinal fluid leaks. Methods: The dataset consisted of 600 MRI images of sellar barriers obtained from coronal sections and evenly distributed among the three classes. The Ef

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22

Yoon, Na-Ra. "A Study on Demythologization of AI: With the Analysis of the Documentary AlphaGo in Relation to the Concept of Strong/Weak AI." Semiotic Inquiry 64 (September 30, 2020): 37–64. http://dx.doi.org/10.24825/si.64.2.

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23

Favour, Ebieri, and Sheriff Folarin. "Human Rights and Strong Institutions: A Study of Amnesty International in Nigeria." Age of Human Rights Journal, no. 16 (June 14, 2021): 135–47. http://dx.doi.org/10.17561/tahrj.v16.6092.

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Human right is a topical issue globally but attaining it has remained very difficult. Every day, people around the world face different forms of dehumanizing treatment from their governments, multinationals and other groups. For decade too, strong institutions have emerged to fight for the rights of the voiceless and the weak. One of these institutions is Amnesty International (AI). This paper examines the activities of Amnesty International in the promotion and protection of human rights vis-a-vis the nature of operations, contributions and challenges in Nigeria. The paper adopts desk researc

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Soloviev I.A., I. A., and O. N. Kurochkina. "Artificial intelligence applications in cardiology: a review." Russian Journal of Cardiology 29, no. 11S (2024): 5673. https://doi.org/10.15829/1560-4071-2024-5673.

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The review article considers key applications of artificial intelligence (AI) in cardiology. The review includes subsections devoted to weak and strong AI used in clinical practice and cardiology health provision. The article describes the application options for AI in the analysis of electrocardiography, echocardiography, sonography, computed tomography, magnetic resonance imaging, and positron emission tomography of the heart data. The article briefly describes the aspects of using machine learning and artificial intelligence to process ambulance calls from patients with cardiac complaints,

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Baklaga, Luka. "The Role of AI in Shaping Our Future: Super-Exponential Growth, Galactic Civilization, and Doom." Journal of Computer Science and Technology Studies 6, no. 4 (2024): 112–30. http://dx.doi.org/10.32996/jcsts.2024.6.4.14.

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The present study investigates the potential impact of artificial intelligence (AI) on the future trajectory of human civilization. It focuses on topics such as super-exponential growth, the potential emergence of a galactic civilization, and the associated "doom" hazards. A significant advancement in machine intelligence with human-like consciousness, strong artificial intelligence (AI), also known as artificial general intelligence (AGI), creates new opportunities and capacities. There's growing anxiety about the risk that weak AI will eventually become strong AI. Every year, new transformer

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Chevalier, B. "Leverage Patent Analytics to Achieve Business-Oriented Objectives A Pragmatic Approach." Science Governance and Scientometrics 15, no. 2 (2020): 120–35. https://doi.org/10.5281/zenodo.3931909.

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<strong>Introduction. </strong>Because patent publications are at the forefront of emerging technologies and are related to technologies with commercial potential, many companies consume patent landscapes or analytics to get more information, more data on competitors and cleverly construct incremental improvement. Nevertheless, it is not enough to anticipate technological changes and a true structuration of the information is essential to identify business markers and trends. <strong>Methods.</strong> We have used a big data and data mining approach to process patent information and determine

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ALBAYRAK, Berkman, Gökhan ÖZDEMİR, Yeşim ÖLÇER US, and Emir YÜZBAŞIOĞLU. "Artificial Intelligence Technologies in Dentistry." Journal of Experimental and Clinical Medicine 38, SI-2 (2021): 188–94. http://dx.doi.org/10.52142/omujecm.38.si.dent.18.

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One of the most important actors in the digitization process of our age has been the applications of artificial intelligence (AI). While the weak and strong AI sub-concepts and the different AI models within them are being utilized in many fields such as education, industry and medicine today, the interest of the dentistry field, which has started its integration into the digital world with CAD/CAM technology, in AI is increasing day by day. In different branches of dentistry; AI provides services to clinicians and researchers in many fields such as disease diagnosis, evaluation of the occurre

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Shiller, Alexandra V., and Oleg E. Petrunya. "Architectural Approach to Design of Emotional Intelligent Systems." Russian Journal of Philosophical Sciences 64, no. 1 (2021): 102–15. http://dx.doi.org/10.30727/0235-1188-2021-64-1-102-115.

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Over the past decades, due to the course towards digitalization of all areas of life, interest in modeling and creating intelligent systems has increased significantly. However, there are now a stagnation in the industry, a lack of attention to analog and bionic approaches as alternatives to digital, numerous speculations on “neuro” issues for commercial and other purposes, and an increase in social and environmental risks. The article provides an overview of the development of artificial intelligence (AI) conceptions toward increasing the human likeness of machines: from the key ideas of A. T

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Cho, Jae-Kwang, and Kwang-Jun Tsche. "A Study on the Legal Status and Legal Subjectivity of Artificial Intelligence (AI)." Kyung Hee Law Journal 59, no. 3 (2024): 139–81. http://dx.doi.org/10.15539/khlj.59.3.4.

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Artificial intelligence (AI) is becoming a core technology in society, used across various industries and evolving from a tool to a creator. This paper explores how to recognize AI’s actions and incorporate it into the legal system. First, it examines the significance and types of AI, and the requirements for recognizing AI’s legal subjectivity in Korea. AI’s legal status could be acknowledged if it develops autonomy and independent judgment, and its interactions with humans evolve to the point where it is considered a societal member. Next, the paper reviews systems applicable to AI to harmon

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Taymanov, Roald Ye, Kseniia V. Sapozhnikova, and Anastasiia S. Aminova. "ADVANTAGES AND CHALLENGES OF USING MEASURING SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE." SOFT MEASUREMENTS AND COMPUTING 4, no. 65 (2023): 5–14. http://dx.doi.org/10.36871/2618-9976.2023.04.001.

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The development of artificial intelligence (AI) technologies opens up broad prospects for solving problems in areas that, until recently, seemed accessible only to humans. This trend is forcing a rethinking of fundamental philosophical questions about the material and the ideal. Improving AIbased measurement systems will lead to mass production of different types of such systems with relatively «weak» AI and with «strong» AI. Together these systems will create changes in society, but they will generate social problems. The article shows the effectiveness of measuring system application based o

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Wang, Binyu. "Copyright Protection for AI-Generated Content: A Study Perspective from Chinese Law." Lecture Notes in Education Psychology and Public Media 34, no. 1 (2024): 102–9. http://dx.doi.org/10.54254/2753-7048/34/20231894.

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The rapid proliferation of AI technology, marking the transition from weak AI to strong AI, has catalyzed a surge in AI-generated content across various domains. This transformation has brought into question the protection of intellectual property rights associated with AI-generated works. This paper embarks on an exploration of the evolving framework for protecting AI-generated content within the context of Chinese law. It delves into the multifaceted dimensions of this issue, scrutinizing copyright disputes arising from the innovative nature of AI content generation. Furthermore, it critical

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Rybak, O. P. "Artificial Intelligence as an Object of Statistical Study." Voprosy statistiki 27, no. 2 (2020): 34–47. http://dx.doi.org/10.34023/2313-6383-2020-27-2-34-47.

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The article addresses the questions regarding organizing a statistical study of one of the most dynamic sectors of the economy, based on the use of artificial intelligence AI. Given the novelty and fundamental nature of the topic, the paper focuses on the subject of artificial intelligence, understanding its essential aspects, economic nature, and its driving force for development in order to have clear guidelines for their reflection in current statistical accounting and reporting. The article demonstrates the contradictions of AI development, duality, and the variability of building strong a

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Okorie, Okibeya Felicitas, Helen Nonye Henry-Unaeze, and Henry Chiaka Unaeze. "Enhancing Food Safety with AI: Insights from Nigeria's Agricultural Household Dietary Diversity." International Journal of Environmental and Agriculture Research 11, no. 2 (2025): 09–14. https://doi.org/10.5281/zenodo.14936271.

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<strong>Objective:</strong> This study examined the determinants of Household Dietary Diversity Scores (HDDS) in agricultural households in Nigeria.<strong>Methodology:</strong> Secondary data was sourced from General Household survey Dataset, wave 1-4. A two-stage sampling design was used to select 3,600 households from 360 enumeration areas based on the 2006 Population Census frame. A High-Dimensional Fixed Effects (HDFE) regression model and Multivariate Probit model was used to analyze and present the data collected. <strong>Results: </strong>The model was highly significant (F-statis

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Žagar, Ajda Pretnar, and David Moats. "Perspectives on AI in the British and Slovenian parliament." Digital Humanities in the Nordic and Baltic Countries Publications 7, no. 1 (2025): 68–78. https://doi.org/10.5617/dhnbpub.12236.

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Parliamentary debates illustrate relevant legislative issues and how they change over time. The paper presents debates on artificial intelligence in the British and Slovenian parliaments. We analyze ten years (2015-2024) of parliamentary debates, observing semantic networks and significant words of artificial intelligence debates. We conduct a descriptive comparative analysis, showing the differences in the debates between a non-EU country with a strong AI sector (the UK) and an EU country with a weak AI sector (Slovenia). We conclude that in the former, the debate is more sectoral and focused

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Sim, Taeyong, Seonbin Choi, Yunjae Kim, et al. "eXplainable AI (XAI)-Based Input Variable Selection Methodology for Forecasting Energy Consumption." Electronics 11, no. 18 (2022): 2947. http://dx.doi.org/10.3390/electronics11182947.

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This research proposes a methodology for the selection of input variables based on eXplainable AI (XAI) for energy consumption prediction. For this purpose, the energy consumption prediction model (R2 = 0.871; MAE = 2.176; MSE = 9.870) was selected by collecting the energy data used in the building of a university in Seoul, Republic of Korea. Applying XAI to the results from the prediction model, input variables were divided into three groups by the expectation of the ranking-score (Fqvar) (10 ≤ Strong, 5 ≤ Ambiguous < 10, and Weak < 5), according to their influence. As a result, the mod

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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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Lee, Seung Hwan. "A Study on the Perception of University Students on the Publishing of AI Authors." Korean Publishing Science Society 113 (December 31, 2023): 89–108. http://dx.doi.org/10.21732/skps.2023.113.89.

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The recent emergence of AI authors who write and publish with generative AI has shocked the publishing environment. As there is still no research on how readers perceive AI authors, this study sought to examine college students' perceptions of AI authors' publications. Ten college students participated in the interview. They were asked about their perceptions of books by AI authors, had them experience books by actual AI authors, and were then interviewed about their perceptions. Research results: First, most college students had heard of books by AI authors, but had not yet actually seen book

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Camacho Vázquez, Martha Ruth, Jazmín Pérez Méndez, Janitzín Cárdenas Castellanos, and Nadia Teresa Adaile Benítez. "Implicaciones éticas del uso de Inteligencia Artificial en educación superior." Emerging Trends in Education 8, no. 15 (2025): 122–39. https://doi.org/10.19136/etie.v8n15.6343.

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The implementation of Artificial Intelligence (AI) in higher education poses significant ethical dilemmas that require a deep understanding to ensure its beneficial and equitable use. This research explored the ethical challenges associated with the use of AI, specifically ChatGPT, in the university setting. The methodology was developed in two phases: a systematic literature review and field research using surveys of university students. The results revealed a generally positive attitude toward ChatGPT, with strong recognition of its usefulness and the importance of AI literacy. However, conc

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Manzotti, Riccardo. "Embodied AI beyond Embodied Cognition and Enactivism." Philosophies 4, no. 3 (2019): 39. http://dx.doi.org/10.3390/philosophies4030039.

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Over the last three decades, the rise of embodied cognition (EC) articulated in various schools (or versions) of embodied, embedded, extended and enacted cognition (Gallagher’s 4E) has offered AI a way out of traditional computationalism—an approach (or an understanding) loosely referred to as embodied AI. This view has split into various branches ranging from a weak form on the brink of functionalism (loosely represented by Clarks’ parity principle) to a strong form (often corresponding to autopoietic-friendly enactivism) suggesting that body–world interactions constitute cognition. From an o

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Valiveti, Sesha Sai Sravanthi. "AI-Driven Behavioral Biometrics for 401(k) Account Security." International Research Journal of Advanced Engineering and Technology 02, no. 06 (2025): 23–26. https://doi.org/10.55640/irjaet-v02i06-04.

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As cyber threats evolve, attackers increasingly target financial retirement accounts like 401(k)s, exploiting their high-value nature and weak user-level security controls. Traditional defenses—passwords, OTPs, and device fingerprinting—have proven insufficient in detecting sophisticated account takeovers. This paper presents a behavioral biometrics framework that uses artificial intelligence to continuously authenticate users based on typing patterns, mouse movements, login behavior, and navigation habits. Instead of static credentials, the system builds a behavioral profile for each user and

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Kakokho, T. G. "The Legal Basis for the Use of Artificial Intelligence in Decision-Making by Public Authorities." Uchenye Zapiski Kazanskogo Universiteta Seriya Gumanitarnye Nauki 165, no. 6 (2024): 28–40. http://dx.doi.org/10.26907/2541-7738.2023.6.28-40.

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This article centers on the legal regulation of artificial intelligence (AI) use in public administration. The main features of AI, the risks associated with its use in the public sector, and its key functions were outlined. The program and strategic plans for AI introduction in Russia were systematized. The prospects for creating a digital state were highlighted. Through careful analysis, the most viable areas of public administration were identified where AI can realize its full technical potential without entirely taking over the tasks of human officials (such as digital controllers, judges

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BOBRO, Natalia. "Vectors of artificial intelligence usage in new generation universities." Economics. Finances. Law 2/2025, no. - (2025): 22–25. https://doi.org/10.37634/efp.2025.2.5.

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The development of artificial intelligence (AI) technologies is an important area of digital transformation that affects the educational process in higher education institutions. Modern universities are actively implementing algorithmic solutions to optimize learning, automate administrative processes, and personalize the educational environment. Despite its considerable potential, the widespread use of AI in education raises debates about its ethical aspects, impact on traditional approaches to learning, and the need to ensure information security. The purpose of the paper is to identify the

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Wahid, F. N., and J. M. Behnke. "Genetic control of acquired resistance to Heligmosomoides polygyrus: overcoming genetically determined weak responder status by strategic immunization with ivermectin-abbreviated infections." Journal of Helminthology 70, no. 2 (1996): 159–68. http://dx.doi.org/10.1017/s0022149x00015327.

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AbstractThe induction of acquired resistance to H. polygyrus, following treatment of mice by a 6 day immunizing infection abbreviated with the anthelmintic drug ivermectin (6d I-AI), was investigated. Four worms were sufficient to elicit >80% protection against challenge and immunizing infections >50 worms generated >95% protection in female NIH mice. A few worms were recovered during the second week from immunized challenged mice but these were rapidly expelled from the gut lumen. Treatment with hydrocortisone from day 10 postinfection, permitted worm burdens to accumulate over the f

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Azhar, Tayyaba, Kinza Aslam, Zakia Saleem, Ahsan Sethi, and Tahseen Fatima. "Using Artificial Intelligence (AI) As An External Examiner." Esculapio 19, no. 3 (2023): 371–75. http://dx.doi.org/10.51273/esc23.251319323.

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Objective: To access the validity of ChatGPT on AI assisted tool for evaluating essay questions. Material and Methods: This was a cross-sectional quantitative study conducted at University College of Medicine and Dentistry from June till August 2023. Eighteen questions were selected from fifteen exit tests of Certificate in HPE course. Each of the answers were independently graded by two assessors with doctorate in HPE. The same answers were then reevaluated using ChatGPT. The inter-rater reliability was determined using Kappa test. Results: The agreement between ChatGPT and examiner scores va

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Ofori, Issah, Ruth Owusu Ansah, Simon Annan, Rosemary Makafui Agboyi, and Hanson Obiri Yeboah. "An Exploration of AI Adoption and Public Sector Operations: The Mediating Effect of Strategic Decision Making." International Journal of Supply Chain and Logistics 9, no. 7 (2025): 19–37. https://doi.org/10.47941/ijscl.2983.

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Purpose: While artificial intelligence (AI) offers the potential to enhance efficiency, accuracy, and responsiveness, empirical evidence suggests that its direct impact on public sector operations remains limited. This raises important questions about the mechanisms through which AI generates value in public administration. Methodology: This study employed primary data because primary data collection ensures control over data quality and relevance, which is crucial for testing the proposed hypotheses and generating actionable insights for government decision-makers. Quota sampling, which is a

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ПЯТКИН, В. В. "ПРИМЕНЕНИЕ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА И ИХ ВЛИЯНИЕ НА РЫНОК ТРУДА, ТЕКУЩЕЕ СОСТОЯНИЕ И ОСНОВНЫЕ ТЕНДЕНЦИИ". Экономика и предпринимательство, № 10(171) (7 жовтня 2024): 303–10. http://dx.doi.org/10.34925/eip.2024.171.10.056.

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Статья посвящена анализу текущего состояния и тенденциям применения технологий искусственного интеллекта (ИИ) в различных отраслях, особое внимание уделяется влиянию технологий ИИ на рынок труда. Описывается история развития понятия ИИ, даётся официальное определение ИИ на основе государственных нормативных документов, а также определения Слабого и Сильного ИИ, рассматриваются существующие и потенциальные последствия их применения. Проводится обзор исследований по данной проблематике, и приводятся результаты современных исследований. Делаются выводы относительно дальнейших тенденций и последст

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Timhar, Nurwisa J., Maryjoy A. Busaňa-Ibno, Jonalyn S. Omar, et al. "ARTIFICIAL INTELLIGENCE: ITS EFFECT TO ACADEMIC PERFORMANCE OF GENERAL ACADEMIC STRAND IN MINDANAO STATE UNIVERSITY-SULU." Ignatian International Journal for Multidisciplinary Research 3, no. 5 (2025): 2033–47. https://doi.org/10.5281/zenodo.15564818.

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This study explores the effect of Artificial Intelligence (AI) on the academic performance of Grade 11 General Academic Strand (GAS) students at Mindanao State University–Sulu. Utilizing a quantitative approach, 108 students participated in a survey assessing their perceptions of AI, levels of academic performance, gender-based differences in AI usage, and the correlation between AI use and grades. The findings revealed that students have a generally positive perception on AI, appreciating its ability to personalize learning and provide immediate feedback. The average academic performanc

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MD, Rios. "Artificial Intelligence: When Technology is the Smallest of the Paradigms." Advances in Robotic Technology 1, no. 1 (2023): 1–8. http://dx.doi.org/10.23880/art-16000102.

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The article analyzes, deepens, and reflects on the development and impact of artificial intelligence (AI) in various areas of society. The meaning of AI is the development of a scientific discipline that encompasses a set of cognitive and intellectual simulation capabilities expressed by computer systems through algorithms. The author distinguishes between weak artificial intelligence, which is concerned with performing specific tasks, and strong artificial intelligence, which forms an AI that will exceed human capabilities. AI is a disruptive force that radically changes traditional models an

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Jyoti Bolannavar and Dr. Sumati Ramakrishna Gowda. "Smart Security : A Comprehensive Exploration of AI and IoT in Cybersecurity." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 635–40. http://dx.doi.org/10.32628/cseit2410447.

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This paper investigates the transformative roles of Artificial Intelligence (AI) and the Internet of Things (IoT) in cybersecurity, especially as the complexity and connectivity of digital networks intensify. The rapid adoption of IoT devices in industries and homes alike has significantly broadened the cyber threat landscape, introducing countless points of vulnerability. Cybercriminals now target the vast and often unsecured data generated by IoT devices, exploiting weak access controls, outdated software, and inadequate encryption. In response, AI has become a critical tool in modern cybers

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Sutedja, Indrajani, Daniel Edbert, Rubil Musawaris, and Teddy Marcus Zakaria. "Bibliometric Analysis Role of Artificial Intelligence-Based Analytics for in Silico Research in Antimicrobial Resistance Prediction and Treatment Development." Journal of New Explorations in Electrical Engineering 1, no. 1 (2025): 87–96. https://doi.org/10.22452/nece.vol1no1.8.

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At a time when technological developments are increasingly rapid, many industrial sectors are using AI to support the effectiveness of human life. One example is that AI can be used to build qualified antimicrobial resistance prediction models based on genomic, epidemiological and biochemical data. AI will then work to identify patterns and factors related to antimicrobial resistance. In this way, researchers can predict the potential resistance of a pathogen to certain antibiotics. By utilizing AI, we can predict molecules that may be effective in disrupting antimicrobial resistance pathways

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