Building a consensus: Harmonizing AI ethical guidelines and legal frameworks in Korea for enhanced governance

Artificial Intelligence (AI) permeates various technologies, including information and communication technology, significantly reshaping societal practices and individual routines. While this offers benefits, it also prompts concerns about the negative changes of AI, requiring careful governance. This paper focuses on mitigating these risks by offering recommendations for establishing coherent legal frameworks to safeguard innocent individuals from AI-related threats or potential harm, whether intentional or unintentional. We propose a framework that utilizes a large language model to assess the alignment between AI ethical guidelines and bills. A case study is conducted to analyze the Korean regulatory landscape, since Korea's AI legal frameworks particularly lag behind amid its rapid advancement of technology. This study employs a range of methods - descriptive, correlation, cluster, and semantic analyses - to offer a comprehensive comparison of Korea's legislative documents. Our findings reveal continuity in certain aspects but discontinuity in others between these two governance tools. Consequently, we suggest measures to enhance the consistency between these two realms for AI regulation, contributing to more robust and effective AI governance practices.