Sound Research WIKINDX
Sound Research WIKINDX |
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McLean, S., Read, G. J. M., Thompson, J., Baber, C., Stanton, N. A., & Salmon, P. M. (2023). The risks associated with Artificial General Intelligence: A systematic review. Journal of Experimental & Theoretical Artificial Intelligence, 35(5), 649–663. Added by: alexb44 (03/09/2026, 07:59) Last edited by: alexb44 (03/09/2026, 08:03) |
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| Resource type: Journal Article Published DOI: 10.1080/0952813X.2021.1964003 BibTeX citation key: McLean2023 Email resource to friend View all bibliographic details  |
Categories: AI/Machine Learning Keywords: Artificial General Intelligence, Artificial Intelligence, Definition of AGI Creators: Baber, McLean, Read, Salmon, Stanton, Thompson Collection: Journal of Experimental & Theoretical Artificial Intelligence |
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| Abstract |
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Artificial General intelligence (AGI) offers enormous benefits for humanity, yet it also poses great risk. The aim of this systematic review was to summarise the peer reviewed literature on the risks associated with AGI. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Sixteen articles were deemed eligible for inclusion. Article types included in the review were classified as philosophical discussions, applications of modelling techniques, and assessment of current frameworks and processes in relation to AGI. The review identified a range of risks associated with AGI, including AGI removing itself from the control of human owners/managers, being given or developing unsafe goals, development of unsafe AGI, AGIs with poor ethics, morals and values; inadequate management of AGI, and existential risks. Several limitations of the AGI literature base were also identified, including a limited number of peer reviewed articles and modelling techniques focused on AGI risk, a lack of specific risk research in which domains that AGI may be implemented, a lack of specific definitions of the AGI functionality, and a lack of standardised AGI terminology. Recommendations to address the identified issues with AGI risk research are required to guide AGI design, implementation, and management
Added by: alexb44 |