Buch, Englisch, 252 Seiten, Format (B × H): 156 mm x 234 mm
Volume 1: Innovations in Science, Engineering, Health, Business, Industry, and Ethics
Buch, Englisch, 252 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-15840-0
Verlag: Taylor & Francis Ltd
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 critical addition to the global AI discourse serving as a catalyst for further research and collaboration. The first volume in this two-part series, explores AI-driven innovations in science, engineering, health, business, industry, and ethics, with a focus on Korea's AI ecosystem. Chapters cover diverse topics from sustainable water treatment and 3D-printed cardiovascular devices to personal finance and ethical surveillance systems.
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.
Zielgruppe
Professional Practice & Development, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
Weitere Infos & Material
1. Introduction
2. Utilizing Artificial Intelligence for Sustainable Water Treatment and Management
3. Additive Manufacturing and the Future of Technology-based Exports from the Republic of Korea: A New Era of Distributed, AI-Driven Engineering Innovation
4. AI-enabled Design of 3D printed Cardiovascular Devices: The Impact on Global Health Care
5. The Logic Gate XOR Plays a Critical Role in Various Applications
6. Beyond the Human Genome: Integrating the Sasang Typology and AI for Individualized Healthcare in the Korean Population
7. AI and Machine Learning in Personal Finance: Evolution, Applications, and Insights from South Korea
8. Analyzing Human Capital for Stock Valuation in the Artificial Intelligence Era: Comparing Western and Korean Cases Based on Business Communications
9. Strategic Mega-Project Management in the AI Era: Toward a Typology-Based Framework for Smart City Development
10. AI-Enhanced Supply Chain Mapping for Ocean Plastic Waste Reduction: Comparative Insights from Emerging Economies and Strategic Implications for Korea
11. From Silicon Valley to Seoul: Contrasting Models, Shared Visions in Global AI Governance
12. Conclusion




