Leveraging Hybrid Intelligence for Enhanced Sustainability and Resilience
Abstract
Resilience requires innovative environmental governance and sustainability approaches. This study examines the integration of Hybrid Intelligence (HI) in resilience and sustainability strategies through a comparative analysis of Japan and South Korea. Through systematic document analysis of policy frameworks, implementation reports, and strategic initiatives, the author investigates how these nations employ HI—defined as the structured integration of human cognitive capabilities with artificial intelligence—to enhance climate resilience. The findings reveal distinct patterns in successful HI implementation, highlighting the primacy of organizational and institutional factors over technical considerations. The analysis identifies critical organizational characteristics that facilitate effective HI adoption, including structured protocols for human–artificial intelligence (AI) interaction, institutional learning mechanisms, and alignment between technological capabilities and governance structures. Japan’s community-centered approach and South Korea’s centralized strategy demonstrate alternative but viable pathways for HI implementation in environmental governance. This research contributes to both theoretical understanding and practical application of HI in climate resilience, offering insights for policy adaptation across diverse institutional contexts.