Artificial intelligence, complexity, and systemic resilience in global governance

Autores
Ilcic, Andres Alejandro; Fuentes, Miguel Angel; Lawler, Diego
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Artificial Intelligence (AI) is reshaping international governance, presenting opportunities to enhance systemic resilience while posing significant ethical,social, and geopolitical challenges. This paper argues that complexity science offers a valuable framework for navigating AI’s integration into global governance systems. We analyze AI’s dual capacity as both a transformative tool for improving decision-making, resource allocation, and crisis management, and as a disruptive force introducing risks like data bias, exacerbated inequalities,and governance gaps. By framing resilience as a crucial, boundary concept bridging disciplines and practice, we advocate for adaptive, inclusive governance models capable of managing the inherent uncertainties of AI-driven complex socio-technical systems. Integrating complexity insights with principles like institutional modularity and robust stakeholder collaboration is vital for fostering equity, accountability, and sustainability. This study proposes a conceptual approach aiming to align technological innovation with societal values, ensuring AI deployment contributes to a more resilient and equitable global future, while at the same time it proposes complexity as a boundary concept to bridge the gap between governance literature and philosophy of science and technology.
Fil: Ilcic, Andres Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina
Fil: Lawler, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina
Materia
ARTIFICIAL INTELLIGENCE
SYSTEMIC RESILIENCE
SCIENCE DIPLOMACY
SOCIO-TECHNICAL SYSTEM
COMPLEXITY SCIENCE
INTERNATIONAL GOVERNANCE
ETHICAL AI
ADAPTIVE GOVERNANCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/290911
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Artificial intelligence, complexity, and systemic resilience in global governanceIlcic, Andres AlejandroFuentes, Miguel AngelLawler, DiegoARTIFICIAL INTELLIGENCESYSTEMIC RESILIENCESCIENCE DIPLOMACYSOCIO-TECHNICAL SYSTEMCOMPLEXITY SCIENCEINTERNATIONAL GOVERNANCEETHICAL AIADAPTIVE GOVERNANCEhttps://purl.org/becyt/ford/6.3https://purl.org/becyt/ford/6Artificial Intelligence (AI) is reshaping international governance, presenting opportunities to enhance systemic resilience while posing significant ethical,social, and geopolitical challenges. This paper argues that complexity science offers a valuable framework for navigating AI’s integration into global governance systems. We analyze AI’s dual capacity as both a transformative tool for improving decision-making, resource allocation, and crisis management, and as a disruptive force introducing risks like data bias, exacerbated inequalities,and governance gaps. By framing resilience as a crucial, boundary concept bridging disciplines and practice, we advocate for adaptive, inclusive governance models capable of managing the inherent uncertainties of AI-driven complex socio-technical systems. Integrating complexity insights with principles like institutional modularity and robust stakeholder collaboration is vital for fostering equity, accountability, and sustainability. This study proposes a conceptual approach aiming to align technological innovation with societal values, ensuring AI deployment contributes to a more resilient and equitable global future, while at the same time it proposes complexity as a boundary concept to bridge the gap between governance literature and philosophy of science and technology.Fil: Ilcic, Andres Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; ArgentinaFil: Lawler, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; ArgentinaFrontiers Media2025-06-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/290911Ilcic, Andres Alejandro; Fuentes, Miguel Angel; Lawler, Diego; Artificial intelligence, complexity, and systemic resilience in global governance; Frontiers Media; Frontiers in Artificial Intelligence; 8; 2-6-2025; 1-152624-8212CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/frai.2025.1562095/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/frai.2025.1562095info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:54:24Zoai:ri.conicet.gov.ar:11336/290911instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:54:24.683CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Artificial intelligence, complexity, and systemic resilience in global governance
title Artificial intelligence, complexity, and systemic resilience in global governance
spellingShingle Artificial intelligence, complexity, and systemic resilience in global governance
Ilcic, Andres Alejandro
ARTIFICIAL INTELLIGENCE
SYSTEMIC RESILIENCE
SCIENCE DIPLOMACY
SOCIO-TECHNICAL SYSTEM
COMPLEXITY SCIENCE
INTERNATIONAL GOVERNANCE
ETHICAL AI
ADAPTIVE GOVERNANCE
title_short Artificial intelligence, complexity, and systemic resilience in global governance
title_full Artificial intelligence, complexity, and systemic resilience in global governance
title_fullStr Artificial intelligence, complexity, and systemic resilience in global governance
title_full_unstemmed Artificial intelligence, complexity, and systemic resilience in global governance
title_sort Artificial intelligence, complexity, and systemic resilience in global governance
dc.creator.none.fl_str_mv Ilcic, Andres Alejandro
Fuentes, Miguel Angel
Lawler, Diego
author Ilcic, Andres Alejandro
author_facet Ilcic, Andres Alejandro
Fuentes, Miguel Angel
Lawler, Diego
author_role author
author2 Fuentes, Miguel Angel
Lawler, Diego
author2_role author
author
dc.subject.none.fl_str_mv ARTIFICIAL INTELLIGENCE
SYSTEMIC RESILIENCE
SCIENCE DIPLOMACY
SOCIO-TECHNICAL SYSTEM
COMPLEXITY SCIENCE
INTERNATIONAL GOVERNANCE
ETHICAL AI
ADAPTIVE GOVERNANCE
topic ARTIFICIAL INTELLIGENCE
SYSTEMIC RESILIENCE
SCIENCE DIPLOMACY
SOCIO-TECHNICAL SYSTEM
COMPLEXITY SCIENCE
INTERNATIONAL GOVERNANCE
ETHICAL AI
ADAPTIVE GOVERNANCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/6.3
https://purl.org/becyt/ford/6
dc.description.none.fl_txt_mv Artificial Intelligence (AI) is reshaping international governance, presenting opportunities to enhance systemic resilience while posing significant ethical,social, and geopolitical challenges. This paper argues that complexity science offers a valuable framework for navigating AI’s integration into global governance systems. We analyze AI’s dual capacity as both a transformative tool for improving decision-making, resource allocation, and crisis management, and as a disruptive force introducing risks like data bias, exacerbated inequalities,and governance gaps. By framing resilience as a crucial, boundary concept bridging disciplines and practice, we advocate for adaptive, inclusive governance models capable of managing the inherent uncertainties of AI-driven complex socio-technical systems. Integrating complexity insights with principles like institutional modularity and robust stakeholder collaboration is vital for fostering equity, accountability, and sustainability. This study proposes a conceptual approach aiming to align technological innovation with societal values, ensuring AI deployment contributes to a more resilient and equitable global future, while at the same time it proposes complexity as a boundary concept to bridge the gap between governance literature and philosophy of science and technology.
Fil: Ilcic, Andres Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina. Universidad Nacional de Córdoba; Argentina
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina
Fil: Lawler, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina
description Artificial Intelligence (AI) is reshaping international governance, presenting opportunities to enhance systemic resilience while posing significant ethical,social, and geopolitical challenges. This paper argues that complexity science offers a valuable framework for navigating AI’s integration into global governance systems. We analyze AI’s dual capacity as both a transformative tool for improving decision-making, resource allocation, and crisis management, and as a disruptive force introducing risks like data bias, exacerbated inequalities,and governance gaps. By framing resilience as a crucial, boundary concept bridging disciplines and practice, we advocate for adaptive, inclusive governance models capable of managing the inherent uncertainties of AI-driven complex socio-technical systems. Integrating complexity insights with principles like institutional modularity and robust stakeholder collaboration is vital for fostering equity, accountability, and sustainability. This study proposes a conceptual approach aiming to align technological innovation with societal values, ensuring AI deployment contributes to a more resilient and equitable global future, while at the same time it proposes complexity as a boundary concept to bridge the gap between governance literature and philosophy of science and technology.
publishDate 2025
dc.date.none.fl_str_mv 2025-06-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/290911
Ilcic, Andres Alejandro; Fuentes, Miguel Angel; Lawler, Diego; Artificial intelligence, complexity, and systemic resilience in global governance; Frontiers Media; Frontiers in Artificial Intelligence; 8; 2-6-2025; 1-15
2624-8212
CONICET Digital
CONICET
url http://hdl.handle.net/11336/290911
identifier_str_mv Ilcic, Andres Alejandro; Fuentes, Miguel Angel; Lawler, Diego; Artificial intelligence, complexity, and systemic resilience in global governance; Frontiers Media; Frontiers in Artificial Intelligence; 8; 2-6-2025; 1-15
2624-8212
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/frai.2025.1562095/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/frai.2025.1562095
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.265058

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