Generative AI in Government Policy Support: A Case Study of Taiwan STPI

Abstract

This study examines the integration of generative AI (GenAI) in government policy making, focusing on Taiwan’s Science & Technology Policy Research and Information Center (STPI). By adopting a boundary perspective, it explores challenges such as the literacy, knowledge, and ownership boundaries encountered during GenAI implementation. The research highlights how STPI leverages retrieval-augmented generation (RAG) technology to overcome these obstacles, enhancing the accuracy and efficiency of policy formulation. This case study underscores the potential of GenAI to transform evidence-based policy making by addressing interdisciplinary data integration, technical literacy gaps, and cross-departmental collaboration barriers, providing insights for future government applications of AI technologies.

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