인공지능을 활용한 공간 아카이브의 콘텐츠 확장성 = Content Expansion of Spatial Archives Utilizing Artificial Intelligence

다국어 초록 (Multilingual Abstract)

(Background and Purpose) This study is grounded in the context of the ongoing expansion and transformation of archives driven by digital technology, the rising prominence of artificial intelligence (AI) techniques, and current trends in digitalization within the fields of art and design. Traditional notions of archives have experienced spatial and scope expansion in the digital era, emphasizing the increasing importance of digital art archives and data utilization. Moreover, advanced AI technologies such as generative AI and machine learning are actively applied in creative and data analytical processes within art, design, and archiving, opening new possibilities and presenting certain challenges. In particular, the digitalization of artworks and various design materials has facilitated their migration beyond physical boundaries into virtual and online spaces. The primary aim of this research is to explore the potential for utilizing AI data within spatial archives by investigating how the convergence of digital archives and AI technologies can influence future-oriented developments in art and design data. This is undertaken by examining domestic and international case studies and integrating practical and theoretical insights to understand how AI may transform and expand the roles of art and design archives. (Method) Through a comprehensive review of prior research and case studies related to archives, AI, and digitalization, this study analyzes the current status of art and digital archives, as well as the capabilities and limitations of the application of AI in these contexts. Based on these analyses, it examines the feasibility of integrating AI with digital archives and proposes directions for further expansion and convergence. (Results) The findings suggest that AI, when combined with digital archives, can significantly contribute to the creation, expansion, and democratization of art and design assets. Notably, digital archives, by extending beyond physical spaces into virtual and online environments, are increasingly serving as vital tools to provide contextualized interpretations and enhance the accessibility of artworks and designs. However, copyright issues, ethical considerations, and the lack of standardization and unification in archive management emerged as some of the main challenges that need to be addressed during the study. (Conclusions) The study suggests that the integration of digital archives and AI represents a mutually reinforcing relationship that should be continuously developed and expanded. It also emphasizes the need to establish policy and employ practical strategies that can address related issues such as standardization, copyright protection, and sustainable digital curation. Ultimately, the convergence of digital archives and AI is identified as a key driver for the expansion and democratization of cultural content and for achieving sustainable development in the cultural and artistic domains.