The Wicked Nature of AGI
Artificial general intelligence (AGI) represents an unprecedented ambition within the field of technology, aiming to create systems capable of matching or surpassing human abilities across multiple domains. Unlike Artificial Narrow Intelligence (ANI), AGI is anticipated to operate without task-speci...
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| Format: | Article |
| Language: | English |
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Queensland University of Technology
2025-07-01
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| Series: | Law, Technology and Humans |
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| Online Access: | https://lthj.qut.edu.au/article/view/3757 |
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| _version_ | 1849246271875842048 |
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| author | Yeliz Figen Doker |
| author_facet | Yeliz Figen Doker |
| author_sort | Yeliz Figen Doker |
| collection | DOAJ |
| description | Artificial general intelligence (AGI) represents an unprecedented ambition within the field of technology, aiming to create systems capable of matching or surpassing human abilities across multiple domains. Unlike Artificial Narrow Intelligence (ANI), AGI is anticipated to operate without task-specific limitations and predefined purposes, raising complex, pressing issues surrounding autonomy, control and potential societal impact. This article applies Rittel and Webber’s wicked problem theory to critically examine AGI governance, categorising AGI within the ten characteristics of wicked problems. The absence of a definitive formulation, its unstoppable potential evolution, the subjective and context-dependent nature of its solutions, the irreversibility of interventions and the multiplicity of stakeholder perspectives all underscore the inadequacy of existing governance paradigms. In response, this article advocates for dynamic, iterative and flexible governance frameworks that acknowledge AGI’s ontic uniqueness and potential for autonomous evolution. Rather than treating AGI as a distant or hypothetical concern, this analysis argues for a multidimensional, forward-looking governance model that recognises AGI as an urgent and inherently wicked problem. |
| format | Article |
| id | doaj-art-8aba4b52ccb84ded92f4c5e6d96ebb99 |
| institution | Kabale University |
| issn | 2652-4074 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Queensland University of Technology |
| record_format | Article |
| series | Law, Technology and Humans |
| spelling | doaj-art-8aba4b52ccb84ded92f4c5e6d96ebb992025-08-20T03:58:32ZengQueensland University of TechnologyLaw, Technology and Humans2652-40742025-07-01728911010.5204/lthj.37574080The Wicked Nature of AGIYeliz Figen Doker0https://orcid.org/0000-0002-2661-0013European University InstituteArtificial general intelligence (AGI) represents an unprecedented ambition within the field of technology, aiming to create systems capable of matching or surpassing human abilities across multiple domains. Unlike Artificial Narrow Intelligence (ANI), AGI is anticipated to operate without task-specific limitations and predefined purposes, raising complex, pressing issues surrounding autonomy, control and potential societal impact. This article applies Rittel and Webber’s wicked problem theory to critically examine AGI governance, categorising AGI within the ten characteristics of wicked problems. The absence of a definitive formulation, its unstoppable potential evolution, the subjective and context-dependent nature of its solutions, the irreversibility of interventions and the multiplicity of stakeholder perspectives all underscore the inadequacy of existing governance paradigms. In response, this article advocates for dynamic, iterative and flexible governance frameworks that acknowledge AGI’s ontic uniqueness and potential for autonomous evolution. Rather than treating AGI as a distant or hypothetical concern, this analysis argues for a multidimensional, forward-looking governance model that recognises AGI as an urgent and inherently wicked problem.https://lthj.qut.edu.au/article/view/3757artificial general intelligenceartificial narrow intelligencetechnology governancewicked problem theory |
| spellingShingle | Yeliz Figen Doker The Wicked Nature of AGI Law, Technology and Humans artificial general intelligence artificial narrow intelligence technology governance wicked problem theory |
| title | The Wicked Nature of AGI |
| title_full | The Wicked Nature of AGI |
| title_fullStr | The Wicked Nature of AGI |
| title_full_unstemmed | The Wicked Nature of AGI |
| title_short | The Wicked Nature of AGI |
| title_sort | wicked nature of agi |
| topic | artificial general intelligence artificial narrow intelligence technology governance wicked problem theory |
| url | https://lthj.qut.edu.au/article/view/3757 |
| work_keys_str_mv | AT yelizfigendoker thewickednatureofagi AT yelizfigendoker wickednatureofagi |