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Journal articles on the topic 'Artificial general intelligence AGI'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Tianyu, XIE. "Impact of next-generation Artificial General Intelligence (AGI) on international relations." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 5, no. 1 (2024): 64–69. http://dx.doi.org/10.52957/2782-1927-2024-5-1-64-69.

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The new generation of artificial intelligence technologies occurrence represented by ChatGPT is the beginning of the Artificial General Intelligence (AGI) era. In contrast to the impact of weak AI technologies on international relations discussed in the previous era, AGI is no longer just a tool in the traditional sense. The human-computer integration facilitated by AGI technology will rapidly and deeply penetrate into all areas of social policy and economy. It also may change the mode of social production and economic development, influence international relations and geopolitics by transform

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Linarelli, John. "Artificial General Intelligence and Contract." Uniform Law Review 24, no. 2 (2019): 330–47. http://dx.doi.org/10.1093/ulr/unz015.

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Abstract The aim of this article is to inquire whether contract law can operate in a state of affairs in which artificial general intelligence (AGI) exists and has the cognitive abilities to interact with humans to exchange promises or otherwise engage in the sorts of exchanges typically governed by contract law. AGI is a long way off, but its emergence may be sudden and come in the lifetimes of some people who are alive today. How might contract law adapt to a situation in which at least one of the contract parties could, from the standpoint of a capacity to engage in promising and exchange,

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Joshi, Krupal. "Artificial General Intelligence (AGI): A Comprehensive Review." Journal of the Epidemiology Foundation of India 2, no. 3 (2024): 93–96. http://dx.doi.org/10.56450/jefi.2024.v2i03.004.

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Artificial General Intelligence (AGI) represents a significant leap in the field of artificial intelligence, defined by its ability to perform any intellectual task that a human can. Unlike narrow AI, which is task-specific, AGI is characterized by versatility, adaptability, autonomy, and reasoning capabilities. This comprehensive review explores the defining features of AGI, including its cognitive flexibility and capacity for autonomous decision-making and problem-solving. The current state of AGI research is examined, highlighting key areas such as cognitive architectures, neuroscience-insp

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Cohen, Michael, Badri Vellambi, and Marcus Hutter. "Asymptotically Unambitious Artificial General Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 2467–76. http://dx.doi.org/10.1609/aaai.v34i03.5628.

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General intelligence, the ability to solve arbitrary solvable problems, is supposed by many to be artificially constructible. Narrow intelligence, the ability to solve a given particularly difficult problem, has seen impressive recent development. Notable examples include self-driving cars, Go engines, image classifiers, and translators. Artificial General Intelligence (AGI) presents dangers that narrow intelligence does not: if something smarter than us across every domain were indifferent to our concerns, it would be an existential threat to humanity, just as we threaten many species despite

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Alekseev, A. Yu. "General issues of artificial general intelligence." Journal of Digital Economy Research 1, no. 3 (2023): 6–37. http://dx.doi.org/10.24833/145117912023-3-6-37.

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The project of artificial general intelligence (AGI), which implements a wide range of cognitive phenomena, can be conveniently studied on the basis of a study of the complex Turing test. This test is aimed at solving the main question of the philosophy of artificial intelligence “Can a computer do everything?”, where the universal quantifier runs through private Turing tests that answer the following questions: can a computer understand, live, create, be aware, love, be friends, etc.? Issues arising during the development of an AGI project can be conveniently studied by explicating the seven

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Krishnan, Vinod. "From Artificial intelligence (AI) to Artificial General Intelligence (AGI) – the road ahead." Journal of the World Federation of Orthodontists 14, no. 1 (2025): 1–2. https://doi.org/10.1016/j.ejwf.2025.01.002.

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Umar, Wahyudi, Sudirman Sudirman, and Rasmuddin Rasmuddin. "Artificial General Intelligence (AGI) and Its Implications For Contract Law." Indonesian Journal of Artificial Intelligence and Data Mining 6, no. 1 (2023): 116. http://dx.doi.org/10.24014/ijaidm.v6i1.24704.

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The development of artificial intelligence technology has presented AGI as an exciting future potential. In contract law, AGI can change the landscape of agreements and contract execution. The existence of AGI will raise various legal challenges and questions, such as whether AGI can be a legal party to a contract, whether AGI can execute contracts effectively, and how legal responsibility AGI is in contract execution. This study aims to analyze and identify the legal implications that may arise with the existence of AGI in the context of contract law. In this regard, the research will try to

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Johanes B. Bunyamin. "AGI (Artificial General Intelligence): Peluang Indonesia Melompat Jauh ke Depan." Jurnal Sistem Cerdas 1, no. 2 (2018): 1–11. http://dx.doi.org/10.37396/jsc.v1i2.8.

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AGI (Artificial General Intelligence) adalah kecerdasan buatan yang setara dengan kecerdasan manusia, sehingga semua pekerjaan intelektual manusia bisa digantikan oleh perangkat AGI. Nilai komersialnya akan sangat tinggi di masa yang akan datang. Devisa yang diperoleh dari ekspor perangkat AGI bisa mencapai 10 triliun dolar per tahun. Indonesia memiliki peluang mengembangkan teknologi AGI dan mengkomersialkannya, sebab sampai saat ini belum ada satu ahli pun yang mengetahui cara kerja otak manusia secara lengkap yang bisa dijabarkan ke dalam algoritma AGI. Jadi, Indonesia tidak ketinggalan. Be

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Carlson, Kristen. "Provably Safe Artificial General Intelligence via Interactive Proofs." Philosophies 6, no. 4 (2021): 83. http://dx.doi.org/10.3390/philosophies6040083.

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Methods are currently lacking to prove artificial general intelligence (AGI) safety. An AGI ‘hard takeoff’ is possible, in which first generation AGI1 rapidly triggers a succession of more powerful AGIn that differ dramatically in their computational capabilities (AGIn << AGIn+1). No proof exists that AGI will benefit humans or of a sound value-alignment method. Numerous paths toward human extinction or subjugation have been identified. We suggest that probabilistic proof methods are the fundamental paradigm for proving safety and value-alignment between disparately powerful autonomous a

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Carlson, Kristen W. "Safe Artificial General Intelligence via Distributed Ledger Technology." Big Data and Cognitive Computing 3, no. 3 (2019): 40. http://dx.doi.org/10.3390/bdcc3030040.

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Artificial general intelligence (AGI) progression metrics indicate AGI will occur within decades. No proof exists that AGI will benefit humans and not harm or eliminate humans. A set of logically distinct conceptual components is proposed that are necessary and sufficient to (1) ensure various AGI scenarios will not harm humanity, and (2) robustly align AGI and human values and goals. By systematically addressing pathways to malevolent AI we can induce the methods/axioms required to redress them. Distributed ledger technology (DLT, “blockchain”) is integral to this proposal, e.g., “smart contr

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Majumder, Eeman. "Creating Artificial General Intelligence: A Holistic and Practical Approach." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem40019.

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Abstract—Artificial General Intelligence (AGI) represents the apex of AI research, striving to replicate human-like adaptability, reasoning, and learning across diverse domains. While current AI systems excel in specific, narrow tasks, they fall short of generalization, creativity, and transferability. Inspired by Francois Chollet’s “On the Measure of Intelligence,” this paper synthesizes theoretical insights and practical methodologies to propose a pathway toward AGI. We introduce frameworks for hybrid architectures, embodied learning, skill-acquisition benchmarks, and ethical safeguards, cre

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Abdüsselam, Mustafa Serkan. "Qualitative Data Analysis in the Age of Artificial General Intelligence." International Journal of Advanced Natural Sciences and Engineering Researches 7, no. 4 (2023): 1–5. http://dx.doi.org/10.59287/ijanser.454.

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Artificial General Intelligence (AGI) is a rapidly developing field in the domain of artificial intelligence. AGI systems aim to replicate human-like intelligence and adaptability by possessing the capacity to perform a variety of intellectual tasks that are commonly associated with human beings. As opposed to narrow or weak AI systems, which are designed to perform specific tasks or solve particular problems, AGI seeks to generate machines that can reason, learn, and solve problems with the same level of competence and flexibility as humans. The multimodal nature of data makes it possible to

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Adams, Sam, Itmar Arel, Joscha Bach, et al. "Mapping the Landscape of Human-Level Artificial General Intelligence." AI Magazine 33, no. 1 (2012): 25–42. http://dx.doi.org/10.1609/aimag.v33i1.2322.

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We present the broad outlines of a roadmap toward human-level artificial general intelligence (henceforth, AGI). We begin by discussing AGI in general, adopting a pragmatic goal for its attainment and a necessary foundation of characteristics and requirements. An initial capability landscape will be presented, drawing on major themes from developmental psychology and illuminated by mathematical, physiological and information processing perspectives. The challenge of identifying appropriate tasks and environments for measuring AGI will be addressed, and seven scenarios will be presented as mile

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Feng, Boqian. "Potential Safety Issues and Moral Hazard Posed by Artificial General Intelligence." Applied and Computational Engineering 106, no. 1 (2024): 32–36. http://dx.doi.org/10.54254/2755-2721/106/20241172.

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Abstract. Artificial Intelligence (AI), a technology with a wide range of intelligence capabilities, has developed rapidly in recent years, bringing significant convenience and efficiency to society. However, most of the current artificial intelligence technologies belong to narrow artificial intelligence. Unlike Narrow AI, Artificial General Intelligence (AGI) possesses a more comprehensive understanding and problem-solving capability. AGI can learn in an unsupervised manner. General artificial intelligence can not only stand out in specific fields. It can also make effective decisions to a c

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НОРКИНА А.Н., НОРКИНА А. Н., НОСОВА С. С. НОСОВА С.С., and МОРОЗОВ Н. В. МОРОЗОВ Н.В. "GENERAL ARTIFICIAL INTELLIGENCE AS A PHENOMENON OF HUMAN ACTIVITY." Экономика и предпринимательство, no. 2(163) (May 9, 2024): 1409–13. http://dx.doi.org/10.34925/eip.2024.163.2.281.

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В данном документе исследуются потенциальные применения и последствия развития общего искусственного интеллекта (ОИИ, анг. AGI) в различных областях, включая науку, здравоохранение, образование, безопасность и экономику. Реализация преимуществ AGI требует активного согласования его целей и ценностей с целями и ценностями человечества посредством ответственного управления. Точные сроки достижения AGI остаются неопределенными, но его появление связано с конвергенцией передовых технологий, таких как большие данные, нейронные сети и квантовые вычисления. Выводы, сделанные в этой статье, имеют знач

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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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Islam, Md Mafiqul. "Artificial General Intelligence: Conceptual Framework, Recent Progress, and Future Outlook." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 1–25. http://dx.doi.org/10.60087/jaigs.v6i1.212.

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This paper explores the concept of Artificial General Intelligence (AGI), delving into its foundational framework, recent advancements, and future implications. AGI refers to the development of machines with the ability to understand, learn, and apply intelligence across a wide range of tasks, mimicking human cognitive abilities. The paper outlines the theoretical underpinnings of AGI, examining the key challenges and methodologies currently shaping its evolution. It also highlights significant milestones achieved in the field, reflecting on the progress made towards achieving true AGI. Finall

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Chen, Bing. "The Significance of Internal Control in Business Management and the Application of Advanced AI in AGI, ASI, and UBI Eras." Open Access Journal of Economic Research 2, no. 1 (2025): 01–09. https://doi.org/10.64030/3065-9035.02.01.01.

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This paper explores the critical role of internal control (IC) in the management of enterprises and organizations, emphasizing its importance for sustainable growth and operational efficiency. It further investigates the potential of advanced artificial intelligence (AI) technologies, such as Artificial General Intelligence (AGI), Artificial Super Intelligence (ASI), and Universal Basic Income (UBI) related systems, in enhancing internal control mechanisms. The paper provides a comprehensive analysis of how AI can be integrated into internal control to improve efficiency, execution, and govern

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Shadrin, V. V., and A. I. Spiridonov. "Artificial General Intelligence: threats and development prospects in the implementation of the law." Vestnik of North-Eastern Federal University. History. Political Science. Law, no. 3 (September 30, 2023): 78–83. http://dx.doi.org/10.25587/2587-5612-2023-3-78-83.

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The article is devoted to the role of artificial intelligence in the implementation of the law, in particular, the problem of the development of “strong” artificial intelligence (English Artificial General Intelligence – AGI) is touched upon. Unlike currently existing models of “weak” artificial intelligence, AGI is able to start performing those functions that were not originally envisaged, requiring a common approach and generalized knowledge about the world around us at the moment. The authors investigated the threats in the use of artificial intelligence at the moment and the prospects for

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Clarke, Alistair. "Artificial General Intelligence: Could It Suffer From a Mental Illness?" BJPsych Open 11, S1 (2025): S29. https://doi.org/10.1192/bjo.2025.10114.

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Aims: Could a hypothetical future Artificial General Intelligence (AGI) suffer from a mental illness? While this question may evoke differing intuitions, the following arguments propose that such an AGI could indeed experience mental pathology.Methods: To prove that an AGI could suffer from a mental illness, the method of philosophical thought experiment using a priori deductive reasoning has been employed. The argument’s premises are justified by known principles of computer science and psychiatry.Results: Though AGI systems do not yet exist, exploring their potential nature can offer valuabl

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Aparicio-Gómez, Oscar-Yecid, and William-Oswaldo Aparicio-Gómez. "Inteligencia Artificial General, Desarrollo Humano y Sostenibilidad." Revista Internacional de Desarrollo Humano y Sostenibilidad 2, no. 1 (2025): 135–47. https://doi.org/10.51660/ridhs21254.

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General artificial intelligence (AGI) represents an unprecedented technological advancement with the potential to transform multiple dimensions of human development and sustainability. This article explores the implications of AGI in areas such as green economy, social justice, public health, inclusive education, and responsible business practices. Through an interdisciplinary analysis, the challenges and opportunities posed by AGI to achieve the United Nations Sustainable Development Goals (SDGs) are examined. It is concluded that, although AGI offers powerful tools to address complex global

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Pandey, Aditya. "Human Cognition in AI: Overview on rise of Artificial General Intelligence." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1610–19. http://dx.doi.org/10.22214/ijraset.2024.60171.

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Abstract: Artificial General Intelligence introduces the transformation in the standpoint of Artificial Intelligence , essential to develop new intelligent machines and systems that simulate the cognitive skills in par with the human intelligence. This paper explores the core concepts of AGI or also called the human-level AI. By leveraging the power of human cognition and intelligence , the AGI can perform various cognitive tasks efficiently. It can also outperform the human intelligence across broad range of domains rather than being constricted to the limitations of narrow AI. Unlike the nar

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Cárdenas-García, Jaime F. "Info-Autopoiesis and the Limits of Artificial General Intelligence." Computers 12, no. 5 (2023): 102. http://dx.doi.org/10.3390/computers12050102.

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Recent developments, begun by the ascending spiral of the anticipated endless prospects of ChatGPT, promote artificial intelligence (AI) as an indispensable tool and commodity whose time has come. Yet the sinister specter of a technology that has hidden and unmanageable attributes that might be harmful to society looms in the background, as well as the likelihood that it will never deliver on the purported promise of artificial general intelligence (AGI). Currently, the prospects for the development of AI and AGI are more a matter of opinion than based on a consistent methodological approach.

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Balasubramanian, Kumar. "The Future of Teaching: Artificial Intelligence (AI) And Artificial General Intelligence (AGI) For Smarter, Adaptive, and Data-Driven Educator Training." Indonesian Journal of Teaching in Science 5, no. 1 (2024): 49–54. https://doi.org/10.17509/ijotis.v5i1.82626.

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The fast evolution of Artificial Intelligence (AI) and the developing Artificial General Intelligence (AGI) capabilities transform how education operates, particularly through its effect on teacher training. AI-based systems provide adaptable learning spaces, and they offer both real-time assessment capabilities and data-driven educational method improvements. With its capability for human-level cognitive operations, AGI creates conditions to transform educator skill advancement processes. The article examines AI and AGI integration within teacher education programs by discussing their practic

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Koshidgewar, Dr. Bhasker. G. "Applications of Artificial Intelligence in various fields." International Journal of Advance and Applied Research 5, no. 27 (2024): 1–4. https://doi.org/10.5281/zenodo.13856463.

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Artificial intelligence is categorized based on functionality and technology used. There are three types of AI-based on technology; Artificial Super Intelligence (ASI), artificial narrow intelligence (ANI), and Artificial general intelligence (AGI).

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Vijaya, K. "ROLE OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 10, no. 53 (2022): 13476–86. http://dx.doi.org/10.21922/srjhsel.v10i53.11649.

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This Article entitles that, the role of Artificial Intelligence in psychology states that Psychology is the study of mental processes and behaviour of individuals. It is about artificial cognitive processes required for an artificially intelligent entity to be intelligent, learning, autonomous and self-developing. In psychology there are several specialties or focuses of study. In cognitive psychology, how the brain thinks and works. This includes learning, memory, perception, language and Logic. There is also developmental psychology that considers how an individual adapts and changes during

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Dubrovsky, David I. "The Importance of Neuroscientific Research of Consciousness for the Development of General Artificial Intelligence (Methodological Issues)." Voprosy Filosofii, no. 2 (2022): 83–93. http://dx.doi.org/10.21146/0042-8744-2022-2-83-93.

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The development of artificial intelligence has entered a new stage associated with the problem of creating General Artificial Intelligence (AGI), approaching in its functions to the abilities of natural intelligence. Along with the phenomenological studies of the cognitive structures of subjective reality, the most important resource for the creation of AGI is the use of the results of neuroscientific studies of consciousness. The article discusses the most important of them, which can serve as a basis for modeling specific cognitive architectures of AGI. This requires a theoretical explaini

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De Garis, Hugo Roland, and Ben Goertzel. "Report on the First Conference on Artificial General Intelligence (AGI-08)." AI Magazine 30, no. 1 (2009): 121. http://dx.doi.org/10.1609/aimag.v30i1.2151.

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The First Conference on Artificial General Intelligence (AGI-08) was held on March 1-3, 2008, at the University of Memphis. The overall goal of the conference was to work toward a common understanding of the most promising paths toward creating AI systems with general intelligence at the human level and beyond, and to share interim results and ideas achieved by researchers actively working toward powerful artificial general intelligence.

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De Garis, Hugo, and Ben Goertzel. "Report on the 2nd International Conference on Artificial General Intelligence (AGI-09)." AI Magazine 30, no. 4 (2009): 115. http://dx.doi.org/10.1609/aimag.v30i4.2244.

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Stiefenhofer, Pascal. "Artificial General Intelligence and the Social Contract: A Dynamic Political Economy Model." Journal of Economic Analysis 4, no. 3 (2025): 142–83. https://doi.org/10.58567/jea04030007.

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This paper develops a dynamic model of Artificial General Intelligence (AGI) capital accumulation and explores its implications for long-run economic stability, human labor, and the viability of the social contract. Extending baseline growth models, we introduce fixed and variable costs of AGI scaling, classify these costs, and analyze their impact on steady-state outcomes. We prove that sublinear costs allow unbounded AGI accumulation, ultimately driving wages and employment to collapse, while superlinear costs impose endogenous limits that preserve human economic relevance. Building on this

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Kim, Heup Young. "Artificial Intelligence, Transhumanism, and the Crisis of Theo-logos: Toward Theo-dao." Korean Society of Minjung theology 38 (December 31, 2022): 103–27. http://dx.doi.org/10.58302/madang.2022..38.103.

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The recent initiation of Artificial General Intelligence (AGI) brings about deep theological issues. The possibility that AGI can achieve digital omnipresence, omniscience, and omnipotence challenges the traditional doctrine of divine attributes. The anticipation that AGI will soon possess superintelligence endangers the validity of Western logos theologies that adopted the logos, a cardinal Greek concept, as the root-metaphor. Logos in Western thought has become narrowly defined as technical reasoning (intelligence) since the Enlightenment. This logos-centralism brought a theological reductio

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Goertzel, Ben, and Marcus Hutter. "Report on the Third Conference on Artificial General Intelligence." AI Magazine 31, no. 3 (2010): 123. http://dx.doi.org/10.1609/aimag.v31i3.2294.

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Rohrer, Brandon. "Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction." Journal of Artificial General Intelligence 2, no. 1 (2010): 1–28. http://dx.doi.org/10.2478/v10229-011-0005-5.

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Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interactionMeasuring progress in the field of Artificial General Intelligence (AGI) can be difficult without commonly accepted methods of evaluation. An AGI benchmark would allow evaluation and comparison of the many computational intelligence algorithms that have been developed. In this paper I propose that a benchmark for natural world interaction would possess seven key characteristics: fitness, breadth, specificity, low cost, simplicity, range, and task focus. I also outline two benchmark examp

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Satyadhar Joshi, Satyadhar Joshi. "Comprehensive review of Artificial General Intelligence (AGI): Applications in Business and Finance." International Journal of Advances in Engineering and Management 7, no. 5 (2025): 250–61. https://doi.org/10.35629/5252-0705250261.

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This paper delves into the multifaceted realm of Artificial General Intelligence (AGI), exploring its definition, evolution, potential applications, and the ongoing debates surrounding its development. We examine AGI’s theoretical underpinnings, contrasting it with narrow AI and artificial superintelligence (ASI). Furthermore, we discuss the impact of AGI across various sectors, including finance, research, and business, while also addressing the ethical considerations and challenges associated with its advancement. This survey synthesizes current research and perspectives, providing a compreh

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Goertzel, Ben. "Artificial General Intelligence: Concept, State of the Art, and Future Prospects." Journal of Artificial General Intelligence 5, no. 1 (2014): 1–48. http://dx.doi.org/10.2478/jagi-2014-0001.

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Abstract In recent years broad community of researchers has emerged, focusing on the original ambitious goals of the AI field - the creation and study of software or hardware systems with general intelligence comparable to, and ultimately perhaps greater than, that of human beings. This paper surveys this diverse community and its progress. Approaches to defining the concept of Artificial General Intelligence (AGI) are reviewed including mathematical formalisms, engineering, and biology inspired perspectives. The spectrum of designs for AGI systems includes systems with symbolic, emergentist,

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Kundu, Subhasis. "Conscious AI: Unlocking the Path to Artificial General Intelligence (AGI)." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1609–13. https://doi.org/10.54660/.ijmrge.2024.5.1.1609-1613.

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This paper investigates the concept of Conscious AI as a potential pathway to achieving Artificial General Intelligence (AGI). The study explores the integration of emotional adaptability, quantum computing, and emotional influence into AI systems to enhance collaboration with humans and improve decision-making processes. The research examines both the theoretical foundations and the practical implications of developing AI with consciousness-like attributes. A framework is proposed for creating emotionally adaptive AI capable of effectively understanding and responding to human emotions [1]. A

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MARTINEZ, DAMIAN, FRANCISCO LUNA ROSAS, JULIO CESAR MARTINEZ ROMO, IVAN CASTILLO ZUÑIGA, MARCO ANTONIO HERNANDEZ VARGAS, and MARIO ALBERTO RODRIGUEZ DIAZ. "BIO-INSPIRED ALGORITHMS AND TRANSFER LEARNING TO OPTIMISE THE EXTRACTION OF SUICIDE-RELATED PATTERNS ON TWITTER." DYNA 99, no. 6 (2024): 561. http://dx.doi.org/10.52152/d11314.

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Artificial Intelligence (AI) has advanced significantly in several subfields, most notably Artificial General Intelligence (AGI). AGI refers to a form of AI capable of performing any intellectual task that a human being can perform, as autonomous humanoid robots would do.

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Kühnberger, Kai-Uwe, Sebastian Rudolph, and Pei Wang. "Report on the Sixth Conference on Artificial General Intelligence." AI Magazine 34, no. 4 (2013): 123–25. http://dx.doi.org/10.1609/aimag.v34i4.2509.

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The Sixth Conference on Artificial General Intelligence (AGI-13) was held on July 31st to August 3rd, 2013, in Beijing, China. This report summarizes the major events during the conference, as well as the main topics addressed.

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Kazakov, Mstyslav. "AGI-Correlationism and Its Discontents." Információs Társadalom 24, no. 3 (2024): 25. https://doi.org/10.22503/inftars.xxiv.2024.3.2.

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Anthropocentric and anthropomorphic biases and attitudes have been present inartificial intelligence (AI) research and practice since their beginning, being especiallynoticeable in artificial general intelligence. The aim of this paper is to proposea comprehensive framework for critical observation, as well as general theoreticalinquiry into these attitudes, unifying them under the name AGI-correlationism. Asfollows from the given name, the concept itself is derived from the contemporaryphilosophies of speculative realism, which are critical towards the philosophicalstance unified under the te

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Kumar, Manoj, Apoorva Sharma, and Sumit Saini. "Artificial General Intelligence (AGI): The Quest for Machines That Can Think Like Humans." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 1119–22. http://dx.doi.org/10.61841/turcomat.v11i1.14411.

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The quest for artificial intelligence (AGI) revolves around creating machines that can mimic human-like cognitive abilities in various industries AGI aims to enable machines to achieve multifunctional learning, problem solving and power of reasoning similar to human reasoning. It seeks to go beyond a narrow, idiosyncratic AI by developing machines to understand and adapt to new situations by learning from experience without explicit structure. AGI research focuses on algorithm architectures to enable autonomous learning, abstraction, and contextual understanding, with the goal of replica

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Sublime, Jérémie. "The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence." Journal of Artificial Intelligence Research 79 (January 10, 2024): 41–67. http://dx.doi.org/10.1613/jair.1.15315.

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Artificial General Intelligence is the idea that someday an hypothetical agent will arise from artificial intelligence (AI) progresses, and will surpass by far the brightest and most gifted human minds. This idea has been around since the early development of AI. Since then, scenarios on how such AI may behave towards humans have been the subject of many fictional and research works. This paper analyzes the current state of artificial intelligence progresses, and how the current AI race with the ever faster release of impressive new AI methods (that can deceive humans, outperform them at tasks

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Sublime, Jérémie. "The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 27 (2025): 28745. https://doi.org/10.1609/aaai.v39i27.35136.

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Artificial General Intelligence is the idea that someday an hypothetical agent will arise from artificial intelligence (AI) progresses, and will surpass by far the brightest and most gifted human minds. This idea has been around since the early development of AI. Since then, scenarios on how such AI may behave towards humans have been the subject of many fictional and research works. This paper analyzes the current state of artificial intelligence progresses, and how the current AI race with the ever faster release of impressive new AI methods (that can deceive humans, outperform them at tasks

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Chen, Bing, and Jiaying Chen. "China’s Legal Practices Concerning Challenges of Artificial General Intelligence." Laws 13, no. 5 (2024): 60. http://dx.doi.org/10.3390/laws13050060.

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The artificial general intelligence (AGI) industry, represented by ChatGPT, has impacted social order during its development, and also brought various risks and challenges, such as ethical concerns in science and technology, attribution of liability, intellectual property monopolies, data security, and algorithm manipulation. The development of AI is currently facing a crisis of trust. Therefore, the governance of the AGI industry must be prioritized, and the opportunity for the implementation of the Interim Administrative Measures for Generative Artificial Intelligence Services should be take

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Schmalzried, Martin. "A Philosophical and Ontological Perspective on Artificial General Intelligence and The Metaverse." Journal of Metaverse 5, no. 2 (2025): 168–80. https://doi.org/10.57019/jmv.1668494.

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This paper leverages various philosophical and ontological frameworks to explore the concept of embodied artificial general intelligence (AGI), its relationship to human consciousness, and the key role of the metaverse in facilitating this relationship. Several theoretical frameworks underpin this exploration, such as embodied cognition, Michael Levin's computational boundary of a "Self," and Donald D. Hoffman's Interface Theory of Perception, which lead to considering human perceived outer reality as a symbolic representation of alternate inner states of being, and where AGI could embody a di

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Researcher. "ETHICAL CONSIDERATIONS IN MACHINE LEARNING AND ARTIFICIAL GENERAL INTELLIGENCE (AGI) MODELS." International Journal of Artificial Intelligence & Machine Learning (IJAIML) 1, no. 1 (2022): 60–69. https://doi.org/10.5281/zenodo.12817784.

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The ethical landscape of machine learning and AGI is fraught with complex challenges that require careful navigation. Bias in algorithms can perpetuate and amplify existing societal inequalities, leading to unfair treatment in areas such as criminal justice and employment. Transparency and explainability are crucial, yet many AI models function as "black boxes," making it difficult to understand their decision-making processes. Privacy concerns are heightened by the vast amounts of personal data required for training these models, raising questions about data security and consent. Accountabili

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Dubrovsky, David I. "The Task of the Creation of Artificial General Intelligence and the Problem of Consciousness." Russian Journal of Philosophical Sciences 64, no. 1 (2021): 13–44. http://dx.doi.org/10.30727/0235-1188-2021-64-1-13-44.

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The article discusses the task of creation of Artificial General Intelligence (AGI), that is, an artificial intelligence system that approaches the functional capabilities of natural intelligence. Emphasis is made on the leading role of Sberbank in updating and organizing a special research program in order to develop this problem, which is of strategic importance for Russia. It has been established that the successful implementation of this program presupposes solving fundamental methodological issues that require input of philosophers - specialists in the field of epistemology and methodolog

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Sedat Sonko, Adebunmi Okechukwu Adewusi, Ogugua Chimezie Obi, Shedrack Onwusinkwue, and Akoh Atadoga. "A critical review towards artificial general intelligence: Challenges, ethical considerations, and the path forward." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 1262–68. http://dx.doi.org/10.30574/wjarr.2024.21.3.0817.

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The pursuit of Artificial General Intelligence (AGI) has captivated researchers and industry leaders alike, promising a future where machines possess human-like cognitive abilities. However, this ambitious endeavor is fraught with multifaceted challenges and ethical dilemmas that necessitate careful examination. This critical review surveys the landscape of AGI research, identifying key hurdles and ethical considerations while outlining potential pathways forward. Firstly, technical challenges loom large on the path to AGI. These encompass fundamental problems such as developing robust learnin

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Sedat, Sonko, Okechukwu Adewusi Adebunmi, Chimezie Obi Ogugua, Onwusinkwue Shedrack, and Atadoga Akoh. "A critical review towards artificial general intelligence: Challenges, ethical considerations, and the path forward." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 1262–68. https://doi.org/10.5281/zenodo.14063607.

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The pursuit of Artificial General Intelligence (AGI) has captivated researchers and industry leaders alike, promising a future where machines possess human-like cognitive abilities. However, this ambitious endeavor is fraught with multifaceted challenges and ethical dilemmas that necessitate careful examination. This critical review surveys the landscape of AGI research, identifying key hurdles and ethical considerations while outlining potential pathways forward. Firstly, technical challenges loom large on the path to AGI. These encompass fundamental problems such as developing robust learnin

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Duan, Yucong. "Bridging the Gap between Purpose-Driven Frameworks and Artificial General Intelligence." Applied Sciences 13, no. 19 (2023): 10747. http://dx.doi.org/10.3390/app131910747.

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Kanaya, Tomoe, and Ali Magine. "How Can the Current State of AI Guide Future Conversations of General Intelligence?" Journal of Intelligence 12, no. 3 (2024): 36. http://dx.doi.org/10.3390/jintelligence12030036.

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Similar to the field of human intelligence, artificial intelligence (AI) has experienced a long history of advances and controversies regarding its definition, assessment, and application. Starting over 70 years ago, AI set out to achieve a single, general-purpose technology that could overcome many tasks in a similar fashion to humans. However, until recently, implementations were based on narrowly defined tasks, making the systems inapplicable to even slight variations of the same task. With recent advances towards more generality, the contemplation of artificial general intelligence (AGI) a

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