Korean Studies in the Artificial Intelligence Era

This two-volume book offers an in-depth exploration of Korea's multidisciplinary advancements in Artificial Intelligence (AI). It showcases how Korean and Korean American scholars utilize diverse methodologies, including systematic literature reviews, empirical research, and industry case studies, to illustrate AI's transformative impacts across fields like engineering, business, health, and education. It bridges a gap in global AI literature and provides comprehensive insights into AI's trajectory, ethical considerations, and prospects, aiming to establish Korea's AI research as a vital topic on the global academic stage. The editors offer a unique, interdisciplinary exploration of AI research, distinctly focusing on Korea's significant contributions. It highlights how Korea has achieved milestones across diverse fields like engineering, business, humanities, and healthcare. Key advantages include its spotlight on Korean innovations, filling a crucial gap in global literature and offering insights into an underrepresented yet influential context. Its interdisciplinary perspective spans five major fields, integrating rigorous methodologies, from systematic reviews to empirical analysis, ensuring robust, evidence-based insights. With real-world relevance derived from practical case studies, it bridges theory and application. This book ensures global accessibility, making Korea's AI advancements widely recognized and fostering crucial cross-cultural academic exchange. This is a critical addition to the global AI discourse serving as a catalyst for further research and collaboration. This book targets the industry practitioner with rigorous AI insights and real-world applications, serving as a useful guide. With high research standards and diverse methodologies, this book can be used for graduate-level studies, serving as a useful reference resource.

Seok Kang is Professor of Digital Communication at the University of Texas at San Antonio. He has made significant contributions to the field of digital communication, particularly in emerging technologies such as AI, VR, and social media, and their role in transforming journalism, communication practices, and society. Wookjae Heo is Assistant Professor at Purdue University. Dr. Heo's research work focuses on consumer financial behaviour, risk assessment, and financial planning, with particular emphasis on applying advanced analytical methods like machine learning to financial planning problems. Woo Hyoung Lee is Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. He is a highly cited researcher with approximately 2,886 citations and 105 publications. Jangwoon Lee is Professor of Mathematics at the University of Mary Washington. His work on innovative algorithms for solving complex mathematical problems has made an impact in applied mathematics. Young B. Choi is Professor at Regent University with research experience at Korea Advanced Institute of Science and Technology. His professional work includes the development of visual security assessment frameworks for wireless networks and the analysis of major cyber data breaches.

1. Introduction 2. AI-driven Transformation of Tourism and Hospitality in Korea: Opportunities, Challenges and Strategic Pathways 3. Adoption and Diffusion of Generative Artificial Intelligence: A Multilevel Theoretical Integration Across Technology and Social Systems 4. Artificial intelligence (AI) adoption and diffusion in Korea: A systematic literature review and future research agenda 5. AI in the Korean Cultural Industries: a game changer in cultural production 6. 600 Years Reimagined: Reviving Sejong the Great's ----- (Yongbieocheonga) through Generative AI and Modern-Classical Vocal Interpretation 7. Creativity in the Age of Artificial Intelligence: Choi Rip's Interdisciplinary Creativity and the Creative Spirit of His Era 8. Soft Power of South Korea in the Digital Age: Reimagining K-Pop, K-Movies, and Cultural Diplomacy through AI-Enabled Diffusion 9. Ethical AI Across Fields: A Unified Chapter 10. Conclusion