Artificial Intelligence, Complexity, and Systemic Resilience in Global Governance

Miguel Angel Fuentes^1*Andrés Ilcic²Diego Lawler³

• ¹Santa Fe Institute, Santa Fe, United States
• ²Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, X5000, Córdoba, Argentina., Córdoba, Argentina
• ³Instituto de Investigaciones Filosóficas, SADAF–CONICET, Bulnes 642, C1176ABL, Buenos Aires, Argentina, Buenos Aires, Argentina

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.