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Study on Application Cases of Generative AI PoC in Public Sector

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(3), pp.9~20
  • DOI : 10.9708/jksci.2025.30.03.009
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 4, 2024
  • Accepted : February 26, 2025
  • Published : March 31, 2025

Eungjoon Kim 1

1서울대학교

Accredited

ABSTRACT

This study examines the feasibility of generative AI in public sector to enhance efficiency and service quality through a mixed-method approach. A Proof of Concept (PoC) analysis was conducted, evaluating AI performance using the F1 score and user satisfaction surveys, while employing Retrieval-Augmented Generation (RAG) for data recency. The results show that generative AI improves efficiency in repetitive tasks and receives high user satisfaction, contributing to workload reduction. Applying the Technology-Organization-Environment (TOE) framework, this study highlights key challenges in AI adoption, emphasizing the need for change management and social acceptance. These findings provide policy insights on structured AI adoption, ethical compliance, and data quality management in the public sector.

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* References for papers published after 2025 are currently being built.