Review of Artificial Intelligence Platform Policies and Strategies in South Korea, United States, China and the European Union Using National Innovation Capacity

• Published in: International Journal of Knowledge Content Development & Technology Vol. 12; no. 3; pp. 79 - 99
• Main Authors: Mun-Su, Park, Chang, Soonwoo Daniel
• Format: Journal Article Book Review
• Language: English
• Published: Chungju 건국대학교 지식콘텐츠연구소 01.09.2022; Research of Knowledge Content Development & Technology; Research Institute for Knowledge Content Development & Technology; 지식콘텐츠연구소
• Subjects: Artificial intelligence; artificial intelligence (a.i.) platform; Big Data; Coronaviruses; COVID-19; digital platform; Espionage; Industrial development; Infrastructure; Innovations; national innovation capacity; platform economy; Policies; policy and strategy; Small & medium sized enterprises-SME; Technology; 문헌정보학; South Korea; United States > US; China; Japan; Artificial Intelligence (A.I.) Platform; Policy and Strategy; Platform Economy; Digital Platform; National Innovation Capacity
• ISSN: 2234-0068; 2287-187X
• DOI: 10.5865/IJKCT.2022.12.3.079

South Korea is at an important juncture in its history to decide whether to continue its investment to become a first-mover of artificial intelligence (A.I.) platform technology or stay as a fast follower. This paper compares South Korea’s A.I. platform capacity to that of the United States, China and the European Union by reviewing publicly opened documents and reports on AI platform strategies and policies using the three elements of the national innovation capacity: common innovation infrastructure, cluster-specific conditions, and quality of linkages. This paper found three major areas the South Korean government can focus on in the A.I. platform industry. First, South Korea needs to increase its investment in the A.I. field and expand its public-private collaboration activities. Second, unlike the U.S. and the U.K., South Korea lacks data protection policies. Third, South Korea needs to build a high-performance system and environment to experiment with artificial intelligence technology and big data.