• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.323-332
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• 2022

As various services using AI technology are being developed, much attention is being paid to AI service production. Recently, AI technology is acknowledged as one of ICT services, a lot of research is being conducted for general-purpose AI service production. In this paper, I describe the research results in terms of systems for AI service production, focusing on the distribution and production of machine learning models, which are the final steps of general machine learning development procedures. Three different Ubuntu systems were built, and experiments were conducted on the system, using data from 2017 validation COCO dataset in combination of different AI models (RFCN, SSD-Mobilenet) and different communication methods (gRPC, REST) to request and perform AI services through Tensorflow serving. Through various experiments, it was found that the type of AI model has a greater influence on AI service inference time than AI machine communication method, and in the case of object detection AI service, the number and complexity of objects in the image are more affected than the file size of the image to be detected. In addition, it was confirmed that if the AI service is performed remotely rather than locally, even if it is a machine with good performance, it takes more time to infer the AI service than if it is performed locally. Through the results of this study, it is expected that system design suitable for service goals, AI model development, and efficient AI service production will be possible.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.603-606
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• 2023

인공지능 (AI) 서비스는 현대 사회에서 중요한 역할을 맡고 있다. 그러나 이러한 서비스는 보안과 관련된 문제들을 가지고 있다. 본 논문은 AI 서비스의 보안과 관련된 문제와 해결책을 조사하고자 한다. AI 서비스의 개요와 대표적인 상용 서비스를 간략히 소개 후, AI 서비스에서 발생할 수 있는 보안상의 문제와 Chat GPT를 중심으로 한 보안 문제에 대해 다루고자 한다. 또한, 향후 AI보안 서비스 연구 분야와 적재적 기계학습 연구에 대한 전망을 살펴볼 예정이다. 이를 통해 안전하고 신뢰성 있는 AI 서비스를 제공하는데 기여하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.84-86
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• 2022

최근 미디어, 금융 등 다양한 분야의 기업들이 AI를 활용해 제공하는 서비스가 늘어남에 따라 학습된 모델을 엣지 자원에 배포하여 기능을 제공하는 서비스형태 또한 늘어나고 있다. AI-Application이 동작하기 위해서는 AI-Model 파일뿐 아니라 동작을 위한 설정 파일들이 필요하여 AI-Application이 사용 중인 AI-Model의 정보를 수집, 관리하는 것은 중요한 이슈라고 할 수 있다. 하지만 단일 서비스서버에서 동작하는 형태가 아닌 각 자원이 산재되어 다양한 형태로 서비스를 제공하는 엣지컴퓨팅의 구조적인 특성상 AI-Application의 기존 서비스구조, 기능을 수정하지 않고 정보를 수집하는 과정은 다양한 문제에 부딪치게 된다. 이에 따라 본 논문에서는 기존 서비스구조를 변경하지 않고 독립적으로 AI-Application에서 사용중인 AI-Model의 정보를 파악하고, 사용자 요청에 대응할 수 있는 관리구조를 제안한다.

• Knowledge Management Research
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• v.25 no.2
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• pp.155-176
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• 2024

This study explores variations in preferences for human and AI agents within the medical and financial services. Study 1 investigates whether there are preferential disparities between human and AI agents across these service domains. It finds that human agents are favored over AI agents in medical services, while AI agents receive greater preference in the financial services. Study 2 delves into the underlying reasons for the preference differentials between human and AI agents by assessing the significance of certain capabilities as perceived by users in each domain. The findings reveal a mediating role of perceived empathy importance in the effect of service domains on human-AI preference. Furthermore, perceived empathy is deemed a more critical capability by users for preferring human over AI agents across both service domains compared to other capabilities such as experience and agency. This research is noteworthy for elucidating the variances in preferences for human and AI agents across medical and financial services and the rationale behind these differences. It enhances our theoretical comprehension of the pivotal factors influencing preferences for human and AI agents, underscoring the significance of human experiential capabilities like empathy.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.791-800
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• 2024

The cashierless store, which is rapidly spreading with the development of AI, is providing new shopping experiences to customers. However, the existing retail service research mainly focused on evaluation based on employees (people). This study was initiated to evaluate services by reorganizing these service evaluations according to the characteristics of cashierless store. In addition, the effect of the service experience characteristics of AI cashierless store on customers' positive or negative emotions was identified, and the effect on revisit intention was verified. As a result of this study, it was confirmed that the service experience characteristics of AI cashierless store had some effect on emotional response. In addition, it was confirmed that the positive emotional response caused by the characteristics of the AI cashierless store service experience induces revisiting, but the negative emotional response hinders revisiting. The results of this study are expected to contribute to the research and development of AI cashierless store services.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.167-176
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• 2024

Chatbot services are used in various fields in connection with AI services. Security research on AI is also in its infancy, but research on practical security in the service implementation stage using it is more insufficient. This paper analyzes the security requirements for chatbot services linked to AI services. First, the paper analyzes the recently published papers and articles on AI security. A general implementation model is established by investigating chatbot services provided in the market. The implementation model includes five components including a chatbot management system and an AI engine Based on the established model, the protection assets and threats specialized in Chatbot services are summarized. Threats are organized around threats specialized in chatbot services through a survey of chatbot service managers in operation. Ten major threats were drawn. It derived the necessary security areas to cope with the organized threats and analyzed the necessary security requirements for each area. This will be used as a security evaluation criterion in the process of reviewing and improving the security level of chatbot service.

• Broadcasting and Media Magazine
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• v.28 no.2
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• pp.53-59
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• 2023

(주)문화방송(MBC)은 콘텐츠 제작 및 유통 워크플로우에 인공지능(Artificial Intelligence, AI) 기술을 적용한 미디어AI 서비스를 운영하고 있다. 영상아카이브에 보관되어 있는 수십만 개의 아날로그와 SD급 콘텐츠를 대상으로 HD급 수준의 영상화질로 품질을 향상시키기 위해서 AI영상화질개선시스템을 2020년에 개발 구축해서 여러 목적에 활용하고 있으며, HD급 콘텐츠를 대상으로 4K 초고화질급으로 변환하는 기술로 고도화해서 실서비스 적용을 눈앞에 두고 있다. 그리고 2년의 STT(Speech-To-Text, 음성문자변환) 베타서비스를 통해 얻어진 사용성 검증과 운영 경험을 바탕으로 STT HUB 서비스를 개발 구축해서 2022년부터 보도와 시사교양 프로그램의 제작 워크플로우에 적용하고 있다. 이들 서비스의 주요 기능들과 기술적 요소들의 구현, 미디어AI 서비스 운영의 경험을 나누고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.7-13
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• 2023

This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

• Smart Media Journal
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• v.12 no.8
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• pp.60-68
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• 2023

After COVID-19, hotel industry is rapidly experiencing changes in the business environment, and under the influence of the Fourth Industrial Revolution, hotel industry is striving to secure competitive advantages through differentiation, including the use of big data and the IoT in service provision, as well as the introduction of artificial intelligence(AI) robot services. This study analyzed the perceived value of AI robot services and their impact on usage attitudes and behavioral intentions of customers who have used hotels that have introduced AI robot services. The results of the study showed that the value of robot services perceived by customers who have used robot services in hotels is categorized into three dimensions: social, experiential, and functional, and all of them have a positive effect on usage attitudes, with social, functional, and experiential values having a positive effect on usage attitudes in that order. Attitude toward use was also analyzed to have a positive effect on behavioral intention, which is consistent with the value-attitude-behavior model. Therefore, it is necessary for hotels to improve the satisfaction of hotel guests through diversified services of AI robot service.

• 한국벤처창업학회:학술대회논문집
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• 2021.11a
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• pp.125-128
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• 2021

한국은 2025년 전체 인구 중 65세 이상 인구가 20%을 상회하는 초고령 사회 진입이 전망되면서 노화수준에 맞는 고령친화적인 제품서비스 공급이 요구된다. 특히 시니어 소비자가 사용하기 편리한 인터페이스를 갖춘 서비스가 필요하다. 이에 시니어들은 노화(aging)에 대한 문제의식에 비용을 지불하며 젊은 소비자들과 유사한 소비행태를 보이고, 노화 수준별 건강 유지 및 건강 불안, 돌봄 공백, 사회적 고립 증가 등 사회문제가 복합적으로 심화되면서 고령친화적인 스마트한 Aging Service 공급이 요구된다. 이러한 시기와 맞물려 with코로나시대 시니어 소비자가 사용하기 편리한 인터페이스를 갖는 제품·서비스로 4차 산업혁명의 중심인 AI(Artificial Intelligence)와 정보통신 기술의 노력이 가시화되고 있다. 따라서 IT 기술에 덧입혀 시니어들의 욕구에 부합하는 AI 음성인식 기능을 탑재한 제품 및 서비스가 향후 고령친화산업 성장을 주도할 것으로 전망된다. 이에 본 연구는 '고령친화 AI 음성 O2O 서비스'의 서비스 가치가 태도와 이용의도에 영향을 미치는가를 분석하기 위해 선행이론을 토대로 전문가 델파이 방법을 통해 고령친화 AI 음성 O2O 서비스의 정의를 도출하고 실증분석으로 '고령친화 AI 음성 O2O 서비스'의 서비스가치(상황기반 제공성, 즉시연결성, 위치정확성)와 태도 및 이용의도간의 인과관계를 조사하기 위해 본 연구를 진행하였다.