• 인터넷정보학회논문지
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• 제22권4호
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• pp.99-110
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• 2021

Governments around the world are actively establishing strategies and initiatives to spread the use of artificial intelligence (AI), for AI is not a mere new technology, but is an innovative technology that brings about extensive changes in industrial and social structures and is a core engine that will lead the 4th Industrial Revolution. The South Korean government has also been paying attention to AI as a technology and tool for innovative growth, but its application to the industries is still rather sluggish. The government has prepared multifarious AI-related policies with the aim of constructing South Korea as an AI powerhouse, but there is no clear strategy on which detailed policies to implement first and which industries to apply AI preferentially. With these limitations of South Korea's AI policies in mind, this paper analyzed the priorities of industries in AI adoption and the priorities of AI-related national policies, using Delphi-AHP method for 30 top-level AI experts in South Korea. The results of analysis show that AI application is urgent and necessary in the fields of medical/healthcare, public and safety, and manufacturing, which seems to reflect the peak of the COVID-19 crisis in the second half of 2020 at the time of the investigation. And it turns out that policies related to AI talent cultivation, data, and R&D investment are important and urgent above all in order for organizations to apply AI. This suggests that strategies are required to focus limited national resources on these industries and policies first.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.676-691
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• 2022

An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• 한국콘텐츠학회논문지
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• 제22권7호
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• pp.81-88
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• 2022

이번 연구는 인공지능(AI) 활용 가능성에 대한 국내 감정평가사들의 인식과 감정평가산업에서 AI 활용에 따른 관련 리스크를 조사하기 위한 것이다. 2022년 2월 10일부터 18일까지 평가사를 대상으로 모바일 설문조사를 실시했다. 193명의 응답자들로 부터 조사 데이터를 수집했다. 기본 분석을 위해 빈도 분석 및 다중 반응 분석을 수행했다. 감정평가산업에 AI를 활용할 때 다양한 유형의 리스크를 분석하기 위해 요인분석을 활용했다. 감정평가사들은 감정평가산업에 AI 도입에 대해 긍정적인 인식을 갖고 있지만, 일자리 감소 및 일자리 교체와 관련된 부정적인 영향 주로 AI 활용 가능성이 높은 분야와 대체 가능성이 높은 분야로 담보·컨설팅·과세 감정 등을 고려했다. 인적 노동 분야에서 AI에 의한 대체 위험에 대해 더 잘 알고 있었다. 책임, 개인 정보보호 및 보안, 기술적 오류 위험에 대해 매우 잘 알고 있었다. 그러나 공정성, 투명성, 그리고 신뢰성 위험은 일반적으로 낮은 위험 문제로 인식되었다. 기존 연구에서는 주로 AI를 대량 평가 모델에 적용하는 분석 방법을 연구해 왔지만, 이번 연구는 AI의 활용과 위험성에 초점을 맞췄다. AI 활용에 대한 업계 전문가들의 인식을 이해하는 것은 AI가 대규모로 도입될 때 발생할 수 있는 잠재적 위험을 최소화하는 데 도움이 될 것이다.

• 유통과학연구
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• 제15권4호
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.329-344
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• 2021

AI assistant, a software interface designed to interact with a user in a natural way and perform specific tasks on the user's behalf, receives increasing attention from both scholars and practitioners. While most of the literatures explain about technical aspects, little is known about the social and psychological factors that intimately influence consumers when using it. This study sheds light on the reason people use AI assistant and how perceived values influence on intention of continuous usage. A total of 361 AI assistant users participated in an online survey, and all were recruited from a major online panel in South Korea. The results from the principal component analysis suggest five social and psychological motives: self-expression, quality of life, entertainment, information, and compatibility. In addition, perceived values, informativeness, entertainment, and trustworthiness, positively predict the intention to use AI assistant. This research provides theoretical contributions from finding motivations of AI assistant usage and from the effects of perceived values on the intention to use it. Practical implications should not be overlooked in this ever-expanding AI industry.

• 산경연구논집
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• 제11권2호
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• pp.41-48
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• 2020

Purpose: This study is to examine the intention of the elderly who live alone in the customized AI speaker for the elderly living alone to improve the quality of life service for the elderly living alone in the smart city environment. Based on the quality of life model of the elderly, this study is applied to the technology acceptance model to investigate the relationship between perceived usefulness and ease of use on the sustained use intention. Research design, data and methodology: Residents in Suwon, Gyeonggi-do, selected as candidate local governments for the Smart City Challenge Project of the Ministry of Land, Infrastructure and Transport in June 2019 to measure the perceived technology acceptance of potential users for the AI technology for the elderly living alone as part of the smart city technology. In order to evaluate the intention of using AI speaker, which is the target system of this study, a video of a chatbot using experience of elderly people living alone was produced. Results: First of all, in order for the elderly living alone to have an attitude to use AI-based speakers, there should be a perceived usefulness of the quality of life of the elderly. However, ease of use did not show any significant causal relationship to attitude toward use. In addition, the attitude toward use weakly influenced the intention to use. In other words, elderly people living alone were not likely to have a significant effect on their attitude toward use. However, feeling that AI speakers are easy to use will help to improve the quality of life, which in turn led to the attitude toward using AI speakers, which could lead to indirect effects. Finally, the perceived usefulness of quality of life was found to have a weak effect on direct use intentions. Conclusions: This study conducted a study on the technology acceptance of service environment to improve the quality of life for the specific user group who live alone in the smart seat environment. In this study, we examined the effects of AI speaker on the elderly living alone to improve the quality of life for the elderly living alone.

• 한국콘텐츠학회논문지
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• 제21권8호
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• pp.388-402
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• 2021

인공지능(AI)의 효용성은 다양한 사례를 통해 입증되었으며, 이젠 정부 또한 적극적인 AI의 주요 수요자이자 공급자의 역할을 수행하고 있다. 이에 따라, AI 서비스에 대한 국민의 사용 의향에 대한 연구는 매우 중요한 가치를 지니게 되었다. 따라서 본 연구는 정부의 행정가치 실현에 대한 기대, 전자정부 사용경험 등 주요 설명 변수들이 국민의 AI 서비스 사용 의향에 대해 미치는 영향을 파악하기 위해 확장된 기술수용모형을 활용하여 분석을 시행하였다. 분석 결과, 국민은 AI 서비스가 효과성, 책무성과 연관된 분야에 미치는 영향이 높다고 생각할수록 사용 의향이 높았던 반면, 투명성에 연관된 분야는 유의미한 영향이 없었다. 그 외에 전자정부 서비스가 용이하다고 느낄수록, 개인정보 공개에 적극적일수록, 초연결사회에 대한 기대가 높을수록 AI 서비스에 대한 사용 의향이 높았다. 본 연구는 국민의 적극적인 AI 서비스의 사용을 유도하여 첨단사회의 도래를 앞당기기 위한 정부의 역할을 제시하였다는 점에서 의의가 있다.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.11-23
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• 2022

Although artificial intelligence(AI) is a key technology in the digital transformation among the emerging technologies, there are concerns about the use of AI, so many countries have been trying to set up a proper regulation system. This study analyzes the cases of the regulation policies on AI in USA, EU and Korea with the aim to set up and improve proper AI policies and strategies in Korea. In USA, the establishment of the code of ethics for the use of AI is led by private sector. On the other side, Europe is strengthening competitiveness in the AI industry by consolidating regulations that are dispersed by EU members. Korea has also prepared and promoted policies for AI ethics, copyright and privacy protection at the national level and trying to change to a negative regulation system and improve regulations to close the gap between the leading countries and Korea in AI. Moreover, this study analyzed the course of policy changes of AI regulation policy centered on ACF(Advocacy Coalition Framework) model of Sabatier. Through this study, it proposes hyper-scale AI regulation policy recommendations for improving competitiveness and commercialization in Korea. This study is significant in that it can contribute to increasing the predictability of policy makers who have difficulties due to uncertainty and ambiguity in establishing regulatory policies caused by the emergence of hyper-scale artificial intelligence.

• 융합정보논문지
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• 제7권4호
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• pp.53-60
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• 2017

본 연구는 UTAUT 모델을 이용하여 보건의료분야 대학생들의 인공지능기술(Artificial Intelligence Technology, AI)의 사용 의도와 태도에 영향을 미치는 요인들을 규명하기 위해 시행되었다. 연구대상은 278명의 대학생으로, 2016년 5월 15일부터 6월 14일까지 자기기입식 설문지를 통하여 자료를 수집하였다. 연구결과 성과기대, 사회적 영향, 업무의 유용성, 불안요인이 사용 의도에 유의미한 영향을 미치는 것으로 나타났다. 그리고 성과기대, 업무의 유용성, 불안요인은 태도에 유의미한 영향을 미치는 것으로 나타났으며, 사용 의도는 태도에 영향을 미치는 것으로 나타났다. 불안요인과 업무의 유용성이 태도에 미치는 직접 효과가 사용 의도에 의해 부분 매개하는 것으로 나타났다. 대학생들의 AI 기술에 대한 긍정적인 사용 의도와 태도를 높이기 위해서는 사실에 근거한 정확한 정보전달과 막연한 불안감을 줄이면서 성과기대, 사회적 영향, 인지된 유용성을 향상시키는 것이 중요한 것으로 나타났다.