Artificial intelligence, complexity, and systemic resilience in global governance
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 integratio...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1562095/full |
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| author | Andrés Ilcic Andrés Ilcic Miguel Fuentes Miguel Fuentes Miguel Fuentes Diego Lawler |
| author_facet | Andrés Ilcic Andrés Ilcic Miguel Fuentes Miguel Fuentes Miguel Fuentes Diego Lawler |
| author_sort | Andrés Ilcic |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-e79d852b47a64b3cbb8e6870a2a8f8bd |
| institution | OA Journals |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-e79d852b47a64b3cbb8e6870a2a8f8bd2025-08-20T02:01:54ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-06-01810.3389/frai.2025.15620951562095Artificial intelligence, complexity, and systemic resilience in global governanceAndrés Ilcic0Andrés Ilcic1Miguel Fuentes2Miguel Fuentes3Miguel Fuentes4Diego Lawler5Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, ArgentinaInstituto de Investigaciones Filosóficas, SADAF–CONICET, Buenos Aires, ArgentinaInstituto de Investigaciones Filosóficas, SADAF–CONICET, Buenos Aires, ArgentinaSanta Fe Institute, Santa Fe, NM, United StatesInstituto de Sistemas Complejos de Valparaíso, Valparaíso, ChileInstituto de Investigaciones Filosóficas, SADAF–CONICET, Buenos Aires, ArgentinaArtificial 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.https://www.frontiersin.org/articles/10.3389/frai.2025.1562095/fullartificial intelligence (AI)systemic resiliencecomplexity scienceinternational governanceethical AIsocio-technical systems |
| spellingShingle | Andrés Ilcic Andrés Ilcic Miguel Fuentes Miguel Fuentes Miguel Fuentes Diego Lawler Artificial intelligence, complexity, and systemic resilience in global governance Frontiers in Artificial Intelligence artificial intelligence (AI) systemic resilience complexity science international governance ethical AI socio-technical systems |
| title | 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_short | Artificial intelligence, complexity, and systemic resilience in global governance |
| title_sort | artificial intelligence complexity and systemic resilience in global governance |
| topic | artificial intelligence (AI) systemic resilience complexity science international governance ethical AI socio-technical systems |
| url | https://www.frontiersin.org/articles/10.3389/frai.2025.1562095/full |
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