A Policy Framework for AI-Centric Climate Resilience Action Plans

Artificial intelligence (AI) holds transformative potential for addressing climate resilience challenges, especially in regions vulnerable to extreme weather and socio-economic disparities. This chapter examines the integration of the latest communications and AI technologies, including sensor networks (Internet of things), 6G, large language models, digital twins, and agentic decision-making to develop innovative, data-driven solutions for climate adaptation and mitigation. These technologies can be used to support Sustainable Development Goals (SDGs), including SDG 13 (Climate Action), SDG 11 (Sustainable Cities and Communities), and SDG 9 (Industry, Innovation, and Infrastructure). However, when using such tools, one must first address policy, privacy, and other governance concerns. A scalable, dynamic policy framework is presented, emphasizing governance, infrastructure investment, capacity building, ethical AI implementation, and adaptability, which can be used to foster resilience in climate-sensitive regions. To properly leverage real-time environmental monitoring, predictive and prescriptive analyses, and agent-based decision-making, the framework addresses systemic barriers like data scarcity, infrastructure gaps, especially for low-income citizens, fragmented policy development, and lack of computing resources. Strategies such as regional collaboration, modular policymaking, and inclusive stakeholder engagement are highlighted for their ability to ensure the framework’s applicability across diverse socio-economic contexts. This chapter draws on global best practices and case studies from Latin America and the Caribbean and shows how AI-driven approaches enhance disaster preparedness, resource allocation, and urban planning. This chapter provides actionable recommendations for low-cost, pilot implementations and offers a comprehensive roadmap for leveraging technology to address climate challenges while supporting sustainable development.