Ilcic Andrés, Fuentes Miguel, Lawler Diego
Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, Argentina.
Instituto de Investigaciones Filosóficas, SADAF-CONICET, Buenos Aires, Argentina.
Front Artif Intell. 2025 Jun 2;8:1562095. doi: 10.3389/frai.2025.1562095. eCollection 2025.
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.
人工智能（AI）正在重塑国际治理，既带来了增强系统韧性的机遇，也带来了重大的伦理、社会和地缘政治挑战。本文认为，复杂性科学为指导人工智能融入全球治理体系提供了一个有价值的框架。我们分析了人工智能的双重能力，它既是改善决策、资源分配和危机管理的变革性工具，也是一股破坏力量，带来数据偏差、不平等加剧和治理差距等风险。通过将韧性界定为连接学科与实践的关键边界概念，我们倡导采用适应性、包容性治理模式，以管理人工智能驱动的复杂社会技术系统中固有的不确定性。将复杂性见解与机构模块化和强大的利益相关者协作等原则相结合，对于促进公平、问责和可持续性至关重要。本研究提出了一种概念方法，旨在使技术创新与社会价值观保持一致，确保人工智能的部署有助于实现一个更具韧性和公平性的全球未来，同时它将复杂性作为一个边界概念，以弥合治理文献与科学技术哲学之间的差距。
