• Informatization Policy
• /
• v.31 no.2
• /
• pp.39-64
• /
• 2024

This study assesses the national AI competitiveness of 38 OECD countries with focus on AI human capital, AI infrastructure, and AI innovation capacity. Utilizing the fuzzy-set ideal type analysis method, these countries were categorized into eight distinct types based on their national AI competitiveness levels, leading to the derivation of pertinent implications. The analysis identified a category termed "AI Leading Country" consisting of North American, Western European, and Nordic countries, along with several Asian nations including South Korea. Remarkably, the United States demonstrated dominant global national AI competitiveness, achieving the highest fuzzy scores across all three evaluative factors. South Korea was classified as an "AI Leading Country" primarily due to its superior AI infrastructure, but its performance in AI human capital and AI innovation capacity was found to be moderate relative to other analyzed nations; thus highlighting the necessity of sustained focus on the accumulation of AI human capital and bolstering of AI innovation capacity.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.872-875
• /
• 2019

우리나라의 수출입 화물 물량의 대부분은 항만을 통해 처리되고 있으며, 취급화물의 다양성과 선박의 대형화로 주변 국가들의 항만간 경쟁으로 심화되면서 항만 비용의 증가로 발생되고 있다. 이는 항만업무의 효율화와 생산성의 증가로 비용 감소효과를 바라볼 수 있는데, 4차 산업혁명의 주요 기술인 인공지능(OCR, AI알고리즘, 머신러닝, RPA등)의 기술 적용으로 개선할 수 있다. 본 연구에서는 이와 관련된 실질적 항만업무와 관련된 기술을 적용하여 업무의 효율화와 생산성 증가의 기술적 검증을 통해 항만의 경쟁력 강화와 국가 물류발전의 기술적 향상을 도모하고자 한다.

• Informatization Policy
• /
• v.23 no.1
• /
• pp.74-93
• /
• 2016

This paper proposes Korean national science and ICT policies in artificial intelligence (AI) field. After analyzing the AI trends in major countries as an initiative for global competitiveness, we suggest for new solutions for nutcracker threats and provide policy recommendations for strengthening competitiveness and commercialization in AI field of Korea. Korea's AI status was diagnosed in the order of governance, research and development (R&D), technology commercialization, law and legislation, and human resources strategy. In conclusion, it proposes improvement of governance, procession of long term future market initiative R&D, development of AI commercialization platforms, preparation of research friendly law and environment, and the nurturing of practical and converging human resources system.

• Journal of The Korean Institute of Defense Technology
• /
• v.5 no.1
• /
• pp.19-24
• /
• 2023

The future battlefield is expected to be very different from what it is today because of the development of new technologies. In particular, it becomes difficult to predict the war's outcome as AI and robots, whose performance is improved, participate in the battlefield. Accordingly, major countries including the US and China regard AI as the key technology and game changer that changing national competitiveness and future wars. Therefore, they are concentrating their efforts at the national level to occupy advance related technologies and to develop AI weapon systems. For this reason, countries are preparing strategies and policies to defense AI, and are actively expanding infrastructure, such as establishing organizations. In Korea, Defense AI is also being promoted. But, it suffers from a lack of governance that manages and controls integrally. Nevertheless, a significant consensus is forming on the necessity of establishing a defense AI center. In this study, we analyzed the status of defense AI promotion in major foreign countries such as the US, UK, and Australia, and suggested some implications for the establishment of defense AI policies.

• Journal of Advanced Navigation Technology
• /
• v.27 no.2
• /
• pp.235-246
• /
• 2023

In the rapid technological development of artificial intelligence (AI), electric vehicles, and robots based the fourth industrial revolution, semiconductors determine the core performance, and semiconductor competitiveness is directly related to national competitiveness. However, the Korean semiconductor industry has continuously weakened its competitiveness in the system semiconductor field, excluding memory semiconductors, so in this study, a new smart contract basedblockchain business model to engage the global market, which is the most urgent need for the growth of Korean fabless system semiconductor industry in recession. F-SBM (Fabless-Smart contract based Blockchain Model) proposed. In this study, through the new F-SBM, it was verified how to engage new customers for fabless firms through smart contract based consortium blockchain regarding technology, economy, and reliability items of fabless. This model has great significance in improving the high entry barriers to engaging new customers for the long-cherished desire of the Korean fabless system semiconductor industry and deriving new growth solutions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.2
• /
• pp.215-235
• /
• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.1
• /
• pp.77-82
• /
• 2019

AI is applied increasingly to overall industries such as living, medical, financial service, autonomous car, etc. thanks to rapid technology development. AI-leading countries are strengthening their competency to secure competitiveness since AI is positioned as the core technology in $4^{th}$ Industrial Revolution. Although Korea has the competitive IT infra and human resources, it lags behind traditional AI-leaders like United States, Canada, Japan and, even China which devotes all its might to develop intelligent technology-intentive industry. AI is the critical technology influencing on the national industry in the near future according to advancement of intelligent information society so that concentration of capability is required with national interest. Also, joint development with global AI-leading companies as well as development of own technology are crucial to prevent technology subordination. Additionally, regulatory reform and preparation of related law are very urgent.

• The Journal of the Korea Contents Association
• /
• v.22 no.7
• /
• pp.1-9
• /
• 2022

Today, artificial intelligence (AI) has emerged as a key driver of national competitiveness, but it is also causing unexpected side effects in society. This study intends to examine major social issues by collecting papers on AI targeting KCI journals in the field of social science. Therefore, we conducted keyword analysis of papers from 2016 to 2020. As a result of the analysis, the keywords for 'robot' and 'education' appeared the most, and the top six clusters (issues) were derived through the keyword network. The main issues are as follows: the background and/or basic concept of AI, AI education, side effects of AI, legal issues of AI-based creations, intention to use AI products/services, and AI ethics. The results of this study can be used to expand the discussion on the social aspects of AI and to find policy directions at the national level.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.24-38
• /
• 2021

This study aims to measure Korea's global competitiveness in intelligent information technology, which is the core technology of the 4th industrial revolution. For analysis, we collect patents of each field and prior patents cited by them, which are applied at the U.S. Patent Office (USPTO) between 2010 and 2018 from PATSTAT Online. A global knowledge transfer network was established by grouping citing- and cited-relationships at a national level. The in-degree centrality is used to evaluate technology acceptance, which indicates the process of absorbing existing technological knowledge to create new knowledge in each field. Second, to evaluate the impact of existing technological knowledge on the creation of new one, the out-degree centrality is investigated. Third, we apply the PageRank algorithm to qualitatively and quantitatively investigate the importance of the relationships between countries. As a result, it is confirmed through all the indicators that the AI sector is currently the least competitive.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.05a
• /
• pp.256-258
• /
• 2021

최근 전세계 각 연구기관에서 CPS, 클라우드 컴퓨팅, 5G, 빅데이터, IIOT, Milk-run AI 알고리즘 등을 활용한 CIPs(Connected Industrial parks) 아키텍쳐가 다양하게 제안되고 있다. 평균적으로 한국의 중소기업은 기술력과 가격 경쟁력 문제로 많은 어려움을 겪고 있다. 미국, 일본, 유럽 등의 해외 선진국들에 비하여 기술력이 확실한 우위를 보이지 못하고 있으며, 중국, 베트남 등의 국가에 비하여는 제조 가격 경쟁력을 보이지 못하고 있다. 이러한 상황에서 한국의 중소 기업들은 지속 가능한 성장 방안을 찾기 위하여 많은 노력을 하고 있다. 재무적으로 한국의 중소기업들이 수익성을 향상시키기 위해서는 매출을 증대시키는 것 보다 비용을 절감하는 것이 효과적이다. 이러한 문제 의식 속에서 한국 CIPs에 위치한 중소 기업들의 비용 절감을 위한 방안으로서 VJP(Vehicle Junction Problem)를 주목하였다. 중소 기업의 최소 물류 비용 달성을 위한 방법으로 CIPs 결제 한국형 시스템을 연구하였다. 새로운 한국형 CIPs결제 시스템의 세부 항목을 크게 4가지 "데이터(Data)", "업무(Business)", "자금(Finance)", "기술(Technique)"로 구분하여 정리하였다.