토픽 모델링을 활용한 국내 AI 윤리 연구 동향 및 주요 이슈 분석 = Topic Modeling-Based Analysis of Research Trends and Key Issues in AI Ethics in Korea

다국어 초록 (Multilingual Abstract)

This study conducted a trend analysis, keyword analysis, and Latent Dirichlet Allocation (LDA)-based topic modeling on 361 academic papers on artificial intelligence (AI) ethics published in Korean journals from 2023 to 2024, where generative AI technologies, such as ChatGPT, were widely adopted. The findings are as follows. First, research on AI ethics surged in 2023, coinciding with the emergence of generative AI. Research was actively conducted in the social sciences and humanities, encompassing education and law. Second, domain analysis based on the literature themes found that a significant portion of the research was conducted on “AI ethics education” and “laws, institutions, and norms,” with particular emphasis on the necessity and practical strategies for AI ethics education, especially in elementary education. Third, keyword analysis identified core ethical and social values, such as “education,” “responsibility,” “morality,” and “literacy,” as central concepts in AI ethics research. Fourth, topic modeling by research domain indicated that discussions on “ethics of AI” focused on logical reflection and responsibility ethics; “ethics in the use of AI” emphasized reestablishing values in social, public, and industrial sectors; “ethics in educational applications” addressed teachers' and learners' perceptions and educational practices; and “educational ethics” examined curriculum integration and instructional strategies. The study's results provide a comprehensive understanding of AI ethics discourses, suggesting implications for the future development of ethics education and policy initiatives.