{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:04:48Z","timestamp":1787169888774,"version":"3.56.0"},"reference-count":96,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T00:00:00Z","timestamp":1748822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3389\/frai.2025.1562095","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T01:24:09Z","timestamp":1748827449000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["Artificial intelligence, complexity, and systemic resilience in global governance"],"prefix":"10.3389","volume":"8","author":[{"given":"Andr\u00e9s","family":"Ilcic","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel","family":"Fuentes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego","family":"Lawler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,6,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.4324\/9781003388418","author":"Aguerre","year":"2024","journal-title":"Global Digital Data Governance: Polycentric Perspectives"},{"key":"B2","doi-asserted-by":"publisher","first-page":"2053951720949566","DOI":"10.1177\/2053951720949566","article-title":"Designing for human rights in AI","volume":"7","author":"Aizenberg","year":"2020","journal-title":"Big Data Soc"},{"key":"B3","doi-asserted-by":"publisher","first-page":"1372157","DOI":"10.3389\/fenvs.2024.1372157","article-title":"Emerging attributes of adaptive governance in the global south","volume":"12","author":"Akther","year":"2024","journal-title":"Front. 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