Academic literature on the topic 'Artificial general intelligence AGI'

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Journal articles on the topic "Artificial general intelligence AGI"

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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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Dissertations / Theses on the topic "Artificial general intelligence AGI"

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Adolfsson, Lovisa. "How will Artificial Intelligence impact the labour market, which jobs will be replaced and what will it mean for society, within the next decade?" Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412832.

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This study examines the impact of Artificial Intelligence on the Labour Market within the next decade. Methods and limitations in the technology and their correlation to work, as well as the possible developments likely to be seen in the coming decade, is presented. It also looks at whether Artificial General Intelligence (a system that meet human performance in all fields) could be invented in the next ten years. So far, methods like machine-, deep- and reinforcement learning has resulted in systems that sometimes exceed human performance but are narrow in skill and proficiency. Meaning that
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Ziv, Ary. "Dynamics in interactions with digital technology| A depth psychological/theoretical exploration of the evolutionary-biological, symbolic, and emotional psyche in the digital age." Thesis, Pacifica Graduate Institute, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3633365.

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<p> The intention of this exploratory research is to shed light on the psychological impact of interactions with digital technology, which is increasingly pervasive in our culture. This dissertation asks what psychological phenomena are generated by human interactions with digital technology, in general, and with complex recommendation systems, in particular. Nondigital technology is contrasted with digital technology, which achieves new levels of interactivity through its artificial and virtual capabilities. It is proposed that the degree of increased interactivity made possible by digital
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Bresilla, Kushtrim <1988&gt. "Sensors, Robotics and Artificial Intelligence in Precision Orchard Management (POM)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/8980/1/BRESILLA_DISSERTATION.pdf.

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Image/video processing for fruit detection in the tree using hard-coded feature extraction algorithms has shown high accuracy on fruit detection during recent years. While accurate, these approaches even with high-end hardware are still computationally intensive and too slow for real-time systems. This paper details the use of deep convolution neural networks architecture based on single-stage detectors. Using deep-learning techniques eliminates the need for hard-code specific features for specific fruit shapes, color and/or other attributes. This architecture takes the input image and divides
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Gkiokas, Alexandros. "Imitation learning in artificial intelligence." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/94683/.

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Acquiring new knowledge often requires an agent or a system to explore, search and discover. Yet us humans build upon the knowledge of our forefathers, as did they, using previous knowledge; there does exist a mechanism which allows transference of knowledge without searching, exploration or discovery. That mechanism is known as imitation and it exists everywhere in nature; in animals, insects, primates, and humans. Enabling artificial, cognitive and software agents to learn by imitation could potentially be crucial to the emergence of the field of autonomous systems, robotics, cyber-physical
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Gwyn, Bryan James. "The use of artificial intelligence techniques for power analysis." Thesis, City University London, 1999. http://openaccess.city.ac.uk/8281/.

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This thesis reports the research carried out into the use of Artificial Intelligence techniques for Power System Analysis. A number of aspects of Power System analysis and its management are investigated and the application of Artificial Intelligence techniques is researched. The use of software tools for checking the application of power system protection systems particularly for complex circuit arrangements was investigated. It is shown that the software provides a more accurate and efficient way of carrying out these investigations. The National Grid Company's (plc, UK) use of software tool
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Chen, Su Liang. "Development of automated bearing condition monitoring using artificial intelligence techniques." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/195557/.

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A recent series of tapered roller bearing tests have been conducted at the University of Southampton to evaluate the effectiveness of using multiple sensing technologies to detect incipient faults. The test rig was instrumented with on-line sensors including vibration, temperature and electrostatic wear and oil-line debris sensors. Off-line techniques were also used such as debris analysis and bearing surface examination. The electrostatic sensors, in particular, have the potential to detect early decay of tribological contacts within rolling element bearings. These sensors have the unique abi
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Loghry, John Brendan. "The recreation of consciousness| Artificial intelligence and human individuation." Thesis, Pacifica Graduate Institute, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3605083.

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<p> Starting from Edward Edinger's portrayal of Jung's process of individuation as the creation of consciousness, this dissertation asks in what ways the creation of artificial intelligence (AI) can be seen as the recreation of consciousness, and specifically whether the AI's maturation from nonconsciousness to something equivalent to consciousness will have an analogous effect on humanity's development out of unconsciousness toward a greater state of cognitive freedom. Taking a functional perspective, this dissertation asks whether B. F. Skinner's metaphor of the human psyche as a black box,
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Calado, Joao Manuel Ferreira. "On-line fault diagnosis of industrial processes based on artificial intelligence techniques." Thesis, City University London, 1996. http://openaccess.city.ac.uk/7773/.

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In this research the application of artificial intelligence techniques for on-line process control and fault detection and diagnosis are investigated. The majority of the research is on using artificial intelligence techniques in on-line fault detection and diagnosis of industrial processes. Several on-line approaches, including a rule based controller and several fault detection and diagnosis systems, have been developed and implemented and are described throughout this thesis. The research results obtained demonstrate that rule based controllers can be an alternative in situations where conv
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Ånséhn, Ludvig. "Preferensutilitaristisk AGI : En analys av Stuart Russells lösningsförslag på kontrollproblemet." Thesis, Uppsala universitet, Avdelningen för praktisk filosofi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-433392.

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Al-Mayyahi, Auday Basheer Essa. "Motion control of unmanned ground vehicle using artificial intelligence." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/76665/.

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The aim of this thesis is to solve two problems: the. trajectory tracking and navigation, for controlling the motion of unmanned ground vehicles (UGV). Such vehicles are usually used in industry for assisting automated production process or delivery services to improve and enhance the quality and efficiency. With regard to the trajectory tracking problem, the main task is to design a new method that is capable of minimising trajectory-tracking errors in UGV. To achieve this, a comprehensive mathematical model needs to be established that contains kinematic and dynamic characteristics beside ac
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Books on the topic "Artificial general intelligence AGI"

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El Hajjami, Salma, Keshav Kaushik, and Inam Ullah Khan, eds. Artificial General Intelligence (AGI) Security. Springer Nature Singapore, 2025. http://dx.doi.org/10.1007/978-981-97-3222-7.

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AGI Conference (1st 2008 University of Memphis). Artificial general intelligence, 2008: Proceedings of the First AGI Conference. IOS Press, 2008.

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Switzerland) AGI Conference (3rd 2010 Lugano. Artificial General Intelligence: Proceedings of the third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5-8, 2010. Edited by Baum, Eric B., 1957- editor of compilation, Hutter, Marcus, editor of compilation, and Kitzelmann, Emanuel, editor of compilation. Atlantis Press, 2010.

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AGI Workshop (2006 Washington, D.C.). Advances in artificial general intelligence: Concepts, architectures and algorithms : proceedings of the AGI Workshop 2006. IOS Press, 2007.

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Ahlquist, John. Game development essentials: Game artificial intelligence. Thomson/Delmar Learning, 2008.

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Schmidhuber, Jürgen. Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings. Springer-Verlag Berlin Heidelberg, 2011.

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Thornton, Christopher James. Artificial intelligence: Strategies, applications, and models through search. 2nd ed. Glenlake Pub. Co., 1998.

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Ben, Du Boulay, ed. Artificial intelligence: Strategies, applications, and models through SEARCH. 2nd ed. Amacom, 1998.

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Christian, Scheier, ed. Understanding intelligence. MIT Press, 2001.

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Adelinde, Uhrmacher, and Weyns Danny, eds. Multi-agent systems: Simulation and applications. Taylor & Francis, 2009.

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Book chapters on the topic "Artificial general intelligence AGI"

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Bieger, Jordi, Kristinn R. Thórisson, and Pei Wang. "Safe Baby AGI." In Artificial General Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21365-1_5.

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Nivel, Eric, Kristinn R. Thórisson, Bas R. Steunebrink, et al. "Bounded Seed-AGI." In Artificial General Intelligence. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09274-4_9.

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Yampolskiy, Roman V. "Ownability of AGI." In Artificial General Intelligence. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19907-3_44.

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Yampolskiy, Roman V. "AGI Control Theory." In Artificial General Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93758-4_33.

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Babcock, James, János Kramár, and Roman Yampolskiy. "The AGI Containment Problem." In Artificial General Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41649-6_6.

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Freed, Sam. "AGI Needs the Humanities." In Artificial General Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52152-3_11.

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Targon, Valerio. "Experience-Specific AGI Paradigms." In Artificial General Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52152-3_34.

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ter Doest, Pieter. "The Delta Normal AGI." In Artificial General Intelligence. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19907-3_12.

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Alexander, Samuel Allen. "AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration." In Artificial General Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52152-3_1.

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Schaat, Samer, Alexander Wendt, Matthias Jakubec, Friedrich Gelbard, Lukas Herret, and Dietmar Dietrich. "ARS: An AGI Agent Architecture." In Artificial General Intelligence. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09274-4_15.

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Conference papers on the topic "Artificial general intelligence AGI"

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Saad, Walid. "Artificial General Intelligence (AGI–Native Wireless Systems with Common Sense." In 2024 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2024. https://doi.org/10.1109/atc63255.2024.10908345.

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Hewlett, Daniel, and Paul Cohen. "Artificial General Segmentation." In 3d Conference on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. http://dx.doi.org/10.2991/agi.2010.31.

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Kontio, Elina, and Jussi Salmi. "Democracy and Artificial General Intelligence." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004960.

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We may have to soon decide what kind of Artificial General Intelligence (AGI) computers we will build and how they will coexist with humans. Many predictions estimate that artificial intelligence will surpass human intelligence during this century. This poses a risk to humans: computers may cause harm to humans either intentionally or unintentionally. Here we outline a possible democratic society structure that will allow both humans and artificial general intelligence computers to participate peacefully in a common society.There is a potential for conflict between humans and AGIs. AGIs set th
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Bringsjord, Selmer. "General Intelligence and Hypercomputation." In 2nd Conference on Artificial General Intelligence 2009. Atlantis Press, 2009. http://dx.doi.org/10.2991/agi.2009.38.

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Looks, Moshe, and Ben Goertzel. "Program Representation for General Intelligence." In 2nd Conference on Artificial General Intelligence 2009. Atlantis Press, 2009. http://dx.doi.org/10.2991/agi.2009.32.

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Thorisson, Kristinn R., and Eric Nivel. "Achieving Artificial General Intelligence Through Peewee Granularity." In 2nd Conference on Artificial General Intelligence 2009. Atlantis Press, 2009. http://dx.doi.org/10.2991/agi.2009.42.

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Geisweiller, Nil, and Ben Goertzel. "Uncertain Spatiotemporal Logic for General Intelligence." In 3d Conference on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. http://dx.doi.org/10.2991/agi.2010.36.

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Kurup, Unmesh, and Nicholas L. Cassimatis. "Quantitative Spatial Reasoning for General Intelligence." In 3d Conference on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. http://dx.doi.org/10.2991/agi.2010.4.

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Gündoğar, Ali, and Saulius Niauronis. "Overview of Potential Risks of Artificial General Intelligence Robots." In Applied Scientific Research. Šiaulių valstybinė kolegija / Šiauliai State Higher Education Institution, 2023. http://dx.doi.org/10.56131/tmt.2023.2.1.93.

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The potential risks posed by robots with advanced artificial intelligence (also known as Artificial General Intelligence - AGI), against humanity are categorized and discussed. The threats of this type of artificial intelligence in robots can be observed from several different approaches such as social, security and safety problems. Potential threats are rising not only from AGI, but also from human behavior in presence of AGI. Advanced applications such as chatbots, android robots, lethal weapons, etc. were assessed by means of different observed flaws (such as intention to harm humans, human
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Kim, Dae-Eun. "Neuroethological Approach to Understanding Intelligence." In 3d Conference on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. http://dx.doi.org/10.2991/agi.2010.29.

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Reports on the topic "Artificial general intelligence AGI"

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Chang, Huey-Meei, and William Hannas. Spotlight on Beijing Institute for General Artificial Intelligence. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/20230013.

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In late 2020, China established the Beijing Institute for General Artificial Intelligence, a state-backed institution dedicated to building software that emulates or surpasses human cognition in many or all of its aspects. Open source materials now available provide insight into BIGAI’s goals, scope, organization, methodology, and staffing. The project formalizes a trend evident in Chinese AI development toward broadly capable (general) AI.
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Hannas, William, Huey-Meei Chang, Daniel Chou, and Brian Fleeger. China's Advanced AI Research: Monitoring China's Paths to "General" Artificial Intelligence. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210064.

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China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.
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Vargas, Fernando, and Arturo Muente. Artificial Intelligence Framework for the Inter-American Development Group. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013377.

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Artificial intelligence (AI) has the potential to become a transformative general-purpose technology, reshaping economic, social, and institutional frameworks globally. The Inter-American Development Bank Group (IDBG) recognizes the urgency of fostering AI adoption in Latin America and the Caribbean to catalyze productivity, inclusion, and sustainable development. This document provides a high-level strategic framework to guide IDBGs interventions in advancing AI adoption and responsible use across the region. The document reviews key challenges facing the three dimensions of AI institutions a
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Hulin, Anne-Sophie, Anita Burgun, Stéphanie Combes, et al. Between Data Governance and Artificial Intelligence : What Place for the Pursuit of the General Interest? : Proceedings of the Closing Conference of the Chair for Social Justice and AI. Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique, 2024. http://dx.doi.org/10.61737/neag1390.

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This collection is set within a contemporary context where defining the directions and objectives for the governance framework of data and artificial intelligence is of paramount importance. The contributions gathered here illustrate some of the discussions that took place at the symposium organized by the Social Justice and Artificial Intelligence Chair, held on February 8, 2024, at the École Normale Supérieure in Paris. Bringing together experts from a variety of fields, the symposium aimed to explore some of the points of intersection between data, AI, and the general interest. This leads t
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Dacre, Nicholas, and Fredrik Kockum. Artificial intelligence in project management: A review of AI’s usefulness and future considerations for the project profession. Association for Project Management, 2022. http://dx.doi.org/10.61175/dogx9829.

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How to use AI technology in project management has had a lot of attention recently and the impact of AI has become a popular topic to debate when predicting the future of the project profession. AI has potential to become a significant tool for project professionals when delivering projects. Our report, led by the University of Southampton explores how professionals view the current state of AI in project management. This research aimed to study the general perception of AI and the ease of use of AI technology within projects. The scope of the report is to find common themes of AI in projects
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Wang, Kun, and Ian Stewart. Can artificial intelligence learn to be a project professional? Potential implications for the professional status of project management. Association for Project Management, 2022. http://dx.doi.org/10.61175/tema4085.

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How to use AI technology in project management has had a lot of attention recently and the impact of AI has become a popular topic to debate when predicting the future of the project profession. AI has potential to become a significant tool for project professionals when delivering projects. Our report, led by the University of Southampton explores how professionals view the current state of AI in project management. This research aimed to study the general perception of AI and the ease of use of AI technology within projects. The scope of the report is to find common themes of AI in projects
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Murdick, Dewey, Daniel Chou, Ryan Fedasiuk, and Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200057.

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New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.
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Musser, Micah, Rebecca Gelles, Catherine Aiken, and Andrew Lohn. “The Main Resource is the Human”. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/20210071.

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Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.
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Ball, Kaitlin. Multilateral Technology Governance. Institute of Development Studies, 2025. https://doi.org/10.19088/k4dd.2025.035.

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The global technological landscape—especially the digital landscape—is changing rapidly. This rapid rate of change presents new opportunities and new challenges, especially considering the cross-border effects of these technologies. The report will present governance mechanisms by technology, placing a particular focus on AI governance. Noting that the terms tangible and intangible technologies are terms of art generally applied in the non-proliferation context, they are useful beyond the non?proliferation realm and will be used to organize this report. This report will sort technologies into
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WANG, MIN, Sheng Chen, Changqing Zhong, et al. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been app
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