• 한국IT서비스학회지
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• 제20권5호
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.

• 한국IT서비스학회지
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• 제20권4호
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• pp.81-93
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• 2021

In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제29권4호
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• pp.45-56
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• 2023

Purpose: Recently, Korea has been promoting smart cities that combine artificial intelligence(AI), big data, ICT, and the Internet of Things(IoT), and these technologies are being applied to housing services and are developing into smart housing services. This study try to analyze what is the most necessary and important the AI smart housing services for the housing disadvantaged persons through a survey of experts and the housing disadvantaged persons. And by collecting these necessary and important services, we aim to present elements and directions for the AI smart housing services policy for the housing disadvantaged persons. Methods: Firstly, we asked 11 experts, Secondly, the desire and necessity for the above smart housing service was identified through an online survey targeting the housing disadvantaged persons. Thirdly, the survey was analyzed and reliability was measured through descriptive statistical analysis using SPSS program. Fourthly, based on the results of descriptive statistics analysis, the necessity and importance of AI smart housing services from the perspective of the housing disadvantaged were derived. Results: The results of this study are that firstly, both experts and the housing disadvantaged persons viewed safety and health-related services as the most important and necessary among AI smart housing services, secondly, there is a difference in perspectives on the services that should be priority between experts and people with disabilities, and lastly there are differences in perspectives and needs for services that should be priority between the disabled and the elderly.

• 한국IT서비스학회지
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• 제22권2호
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• pp.23-40
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• 2023

Despite the growing interest and normative discussions on AI ethics, there is a lack of discussion on policy instruments that are necessary for companies to develop AI-based services in compliance with ethical principles. Thus, the purpose of this study is to explore policy instruments that can encourage companies to voluntarily comply with and adopt AI ethical standards and self-checklists. The study reviews previous research and similar cases on AI ethics, conducts interviews with AI-related companies, and analyzes the data using AHP to derive action plans. In terms of desirability and feasibility, Research findings show that policy instruments that induce companies to ethically develop AI-based services should be prioritized, while regulatory instruments require a cautious approach. It was also found that a consulting support policy consisting of experts in various fields who can support the use of AI ethics, and support for the development of solutions that adhere to AI ethical standards are necessary as incentive policies. Additionally, the participation and agreement of various stakeholders in the process of establishing AI ethical standards are crucial, and policy instruments need to be continuously supplemented through implementation and feedback. This study is significant as it presents the necessary policy instruments for companies to develop ethical AI-based services through an analytical methodology, moving beyond discursive discussions on AI ethical principles. Further analysis on the effectiveness of policy instruments linked to AI ethical principles is necessary for establishing ethical AI-based service development.

• 인터넷정보학회논문지
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• 제25권1호
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• pp.167-176
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• 2024

챗봇서비스는 AI서비스와 연계하여 다양한 분야에서 활용되고 있다. AI에 대한 보안 연구는 초기 단계이고, 이를 이용한 서비스 구현단계에서의 실질적인 보안 연구는 더욱 부족한 상황이다. 본 논문은 AI서비스와 연계된 챗봇서비스에 대한 보안요구사항을 분석한다. 먼저, 본 논문에서는 최근 발표된 AI보안에 대한 논문과 자료들을 분석한다. 시장에서 서비스가 제공되는 있는 챗봇서비스를 조사하여 일반적인 구현 모델을 정립한다. 구현 모델에는 챗봇관리시스템과 AI엔진이 포함된 5개의 구성요소가 포함되어 있다. 정립된 모델에 기반하여 쳇봇서비스에 특화된 보호자산과 위협을 정리한다. 위협은 실제 운영중인 챗봇서비스 담당자 설문을 통해 챗봇서비스에 특화된 위협을 중심으로 정리한다. 10개의 주요 위협이 도출되었다. 정리된 위협에 대응하기 위해 필요한 보안 영역을 도출하였고, 영역별로 필요한 보안요구사항을 분석하였다. 이는 챗봇서비스 보안 수준을 검토하고 개선하는 과정에서 보안평가 기준으로 활용될 것이다.

• Human Ecology Research
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• 제59권1호
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• pp.23-43
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• 2021

This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

• 전자통신동향분석
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• 제35권7호
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• pp.23-35
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• 2020

In this paper, we introduce ETRI AI Strategy #3, "Leading Future Technologies of Network, Media, and Content." Its first goal is "to innovate AI service technology to overcome the current limitations of AI technologies." Artificial intelligence (AI) services, such as self-driving cars and robots, are combinations of computing, network, AI algorithms, and other technologies. To develop AI services, we need to develop different types of network, media coding, and content creation technologies. Moreover, AI technologies are adopted in ICT technologies. Self-planning and self-managing networks and automatic content creation technologies using AI are being developed. This paper introduces the two directions of ETRI's ICT technology development plan for AI: ICT for AI and ICT by AI. The area of ICT for AI has only recently begun to develop. ETRI, the ICT leader, hopes to have opportunities for leadership in the second wave of AI services.

• 지식경영연구
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• 제25권2호
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• pp.155-176
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• 2024

본 연구는 의료 및 금융 서비스 영역에 대해 인간과 AI 에이전트에 대한 소비자의 선호도가 어떻게 달라지는지 확인하고자 하였다. 연구 1은 각 서비스 영역에서 인간과 AI 에이전트 중 소비자가 선호하는 정도에 차이가 있는지 확인하였으며, 그 결과, 의료 서비스에 대해서는 AI 에이전트보다 인간 에이전트가 더 선호되고, 금융 서비스에서는 이와 반대로, 인간 에이전트가 보다 AI 에이전트가 더 선호되는 결과가 나타났다. 연구 2는 의료 및 금융 서비스 영역에 대한 인간-AI 에이전트 선호도가 달라지는 이유를 각 서비스 영역별로 소비자가 지각하는 특정 능력(예: 지각된 공감 능력, 경험치, 주체성)의 중요성의 차이로 설명할 수 있는지 확인하고자 하였다. 그 결과, 서비스 영역에 따른 인간-AI 에이전트 선호도 경향이 소비자가 지각하는 공감 능력의 중요성에 의해 매개된다는 것을 확인하였다. 또한, 지각된 공감 능력이 다른 능력들(경험치, 주체성)에 비해, 두 서비스 영역 간 인간-AI 에이전트 선호를 결정하는 데 더 중요한 역할을 하는 것을 확인하였다. 본 연구는 의료 및 금융 서비스 영역에 대해서 인간과 AI 에이전트에 대한 소비자의 선호도 차이와 그 이유를 확인한 연구라는 점에서 의의가 있다. 이는 인간과 AI 에이전트 선호도에 영향을 미치는 잠재적으로 중요한 요인들에 대한 이론적 이해를 확장하고, 서비스 영역에 따라, 지각된 공감 능력과 같이 인간의 경험적 역량이 인간과 AI 에이전트 선호도를 결정하는데 중요한 역할을 할 수 있다는 점을 강조한다.

• 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.

• 전자통신동향분석
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• 제36권6호
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• pp.88-95
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• 2021

Korea will face difficult social problems including population decline and climate change in the future. Artificial intelligence (AI)-powered ICT convergence services are expected to greatly help in overcoming these social challenges. Accordingly, we have derived key promising services (AI+x) in terms of individuals, industries, and countries and identified expectations and threats perceived by the general public. These findings provide policies and research directions for promising AI-based ICT convergence services for social goods.