Abstract
<jats:p>This entry explores the expanding role of geospatial artificial intelligence (GeoAI) in policymaking, particularly through case studies from South Korea. In essence spatial data are combined with AI to support evidence‐based decision‐making in public governance. Three primary applications are examined: (i) accessibility indices that assess quality of life and infrastructure equity; (ii) integration of civil complaints to identify safety risks, including illegal parking and pothole prediction; and (iii) incorporation of GeoAI into Urban AI frameworks for long‐term urban planning. These approaches demonstrate how anonymized, grid‐based spatial data can enhance administrative responsiveness while protecting privacy. Although the pace of GeoAI adoption in policymaking is slower than technological advancements, its growing feasibility and value are highlighted. It is evident that GeoAI can serve as a vital tool for bridging technological innovation and public policy, provided that stakeholders collaborate and adapt iteratively.</jats:p>