생성형 AI의 기록관리 현장 도입을 위한 실무자 관점의 고찰

Abstract

In recent years, generative AI has made remarkable advancements and is being actively utilized in various fields to enhance work efficiency. However, despite the shortage of human resources and funding due to the “one-person archive system” in many domestic records management institutions, these institutions have shown a passive attitude toward adopting and utilizing generative AI as a tool for supporting their tasks. Therefore, the records management field should actively consider the adoption of generative AI to respond to technological changes and move towards more intelligent work processes. In particular, there is a need to derive practical and effective application strategies that incorporate the perspectives of field practitioners. This study aims to gather and analyze the opinions of records management professionals on applying generative AI to various records management tasks, proposing feasible application strategies. To this end, a survey and focus group interviews (FGI) were conducted with experienced records management professionals. The survey was conducted to collect detailed feedback on the expected benefits, usage frequency, and willingness to develop generative AI applications. Meanwhile, the FGIs aimed to refine and improve the proposed generative AI strategies, adding new features and adjustments to better align them with practical applications in the field. This study is significant in that it assesses the practical applicability of generative AI technologies in records management and proposes detailed improvement plans and application strategies, thus providing foundational data to improve work efficiency, accuracy, and satisfaction in records information services.