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[SeTTA] Seoul AI Ecosystem Analysis and Policies

Author: 
Jaeuk Ju et al.

The purpose of this study is to analyze the industrial ecosystem centered on AI companies in Seoul for the development of the AI industry in Seoul, and to present policy directions based on this. To this end, we investigated the state of the AI ecosystem in Seoul, focusing on companies, and investigated the government's activities for corporate support, public policy, and human resource development to explore ways to develop AI in Seoul. AI has developed through repeated booms and recessions, and in recent years, deep learning technology has shown excellent performance, and various application technologies based on it have been actively developed worldwide. AI is currently used in a variety of industries such as healthcare, manufacturing, transportation, and logistics. Canada and Singapore show best practices for AI policy. In Canada, several research institutes centered around renowned AI experts, including Jeffrey Hinton, have been created, and have succeeded in commercializing and popularizing AI technology. Singapore, which has a strong state-led nature, has built efficient AI governance centered on governments, industries, and universities, and is developing faster than other countries by focusing on infrastructure rather than directly developing solutions. The city of Seoul is promoting the AI ecosystem centering on public institutions affiliated with AI Yangjae Hub, Nakseong Venture Startup Center, Campus Town, and Seoul Business Agency. As a result of looking at AI companies in Seoul, software B2B is the most common business model, and prediction and diagnosis, data curation, and natural language response 170 Abstract account for the most technology types. We propose a strategy for the AI ecosystem in Seoul as follows. First, the city of Seoul must strengthen the competitiveness of the AI industry ecosystem and support the growth of companies in order to create a business environment that is suitable for business, and the characteristics of Seoul must be considered. Second, it is necessary to improve the quality of life of Seoul citizens and contribute to digital transformation by developing and distributing groundbreaking public services to cities using AI technology. Third, long-term investment is needed for Seoul's AI to leap into the future such as education, R&D and public data governance.