• 품질경영학회지
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• 제46권3호
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• pp.677-694
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• 2018

Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

• 한국IT서비스학회지
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• 제18권3호
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• pp.117-128
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• 2019

The remarkable achievements of the artificial intelligence in recent years are also raising awareness about its potential risks. Several governments and public organizations have been proposing the artificial intelligence ethics for sustainable development of artificial intelligence by minimizing potential risks. However, most existing proposals are focused on the developer-centered ethics, which is not sufficient for the comprehensive ethics required for ongoing intelligent information society. In addition, they have chosen a number of principles as the starting point of artificial intelligence ethics, so it is not easy to derive the guideline flexibly for a specific member reflecting its own situation. In this paper, we classify primitive members who need artificial intelligence ethics in intelligent information society into three : Developer, Supplier and User. We suggest a new artificial intelligence ethics, Seoul PACT, with minimal principles through publicness (P), accountability (A), controllability (C), and transparency (T). In addition, we provide 38 canonical guidelines based on these four principles, which are applicable to each primitive members. It is possible for a specific member to duplicate the roles of primitive members, so that the flexible derivation of the artificial intelligence ethics guidelines can be made according to the characteristics of the member reflecting its own situation. As an application example, in preparation for applying artificial intelligence to e-government service, we derive a full set of artificial intelligence ethics guideline from Seoul PACT, which can be adopted by the special member named Korean Government.

• 한국IT서비스학회지
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• 제22권4호
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• pp.53-80
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• 2023

Expectations for artificial intelligence technology are increasing, and its utility value is growing, leading to active use in the public sector. The use of artificial intelligence technology in the public sector has a positive impact on aspects such as improving public work efficiency and service quality, enhancing transparency and reliability, and contributing to the development of technology and industries. For these reasons, major countries including Korea are actively developing and using artificial intelligence in the public sector. However, artificial intelligence also presents issues such as bias, inequality, and infringement of individuals' right to self-determination, which are evident even in its utilization in the public sector. Especially the use of artificial intelligence technology in the public sector has significant societal implications, as well as direct implications on limiting and infringing upon the rights of citizens. Therefore, careful consideration is necessary in the introduction and utilization of such technology. This paper comprehensively examines the legal issues that require consideration regarding the introduction of artificial intelligence in the public sector. Methodological discussions that can minimize the risks that may arise from artificial intelligence and maximize the utility of technology were proposed in each process and step of introduction.

• 품질경영학회지
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• 제47권4호
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• pp.837-846
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• 2019

Purpose: The purpose of this study is to define various concepts, features, and scopes by examining various previous studies on AI services that are completely different from existing services. It also examines the limitations of existing service quality evaluation methods and studies the characteristics by combining them with various cases of new AI services. And this is to derive and propose quality evaluation attributes of AI service. Methods: The concept and characteristics of artificial intelligence were derived through research and analysis of various previous studies related to artificial intelligence. The key characteristics and quality evaluation items were derived through the KJ method and matching based on the keywords and characteristics derived from previous studies and various cases. Results: Based on the review of various previous studies on the quality of artificial intelligence services, this study presents the main characteristics and quality evaluation items of new artificial intelligence services, which are completely different from existing service quality evaluations. Conclusion: The quality measurement model of AI service is very useful when planning and developing AI-based new products or services because it can accurately evaluate the requirements of consumers using the services of the new AI era. In addition, consumers can be recommended a customized service according to the situation or taste, and can be provided with a customized service based on this.

• 한국IT서비스학회지
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• 제18권1호
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• pp.201-217
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• 2019

Cars have become a necessity in modern life. It is widely used to transport people or products to a destination conveniently. However, the addition of a navigation service that provides route information and more makes driving more convenient and safer. Recent developments in the mobile app ecosystem encourages people to adopt not only an installation-type car navigation, but also a mobile app navigation, supporting connected car concepts. It should be noted that mobile apps with mobile Internet can be a significant linkage between information acquired online and offline business. This study demonstrates the impact of the app use experience for a driver in the context of applying artificial intelligence service. As a result, the introduction of artificial intelligence services has a statistically significant moderating effect on the use of mobile navigation apps. This seminal research is valuable as it evaluates the role of artificial intelligence applied to mobile navigation apps.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1347-1356
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• 2017

Artificial intelligence-based services are expanding into a new industrial revolution. There is artificial intelligence technology applied in real life due to the development of big data and deep learning related technology. And data analysis and intelligent assistant services that integrate information from various fields have also been commercialized. Chatbot with interactive artificial intelligence provide shopping, news or information. Chatbot service, which has begun to be adopted by some public institutions, is now just a first step in the steps. This study summarizes the services and technical analysis of chatbot. and the direction of public administration service chatbot was presented.

• 한국비블리아학회지
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• 제34권2호
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• pp.183-203
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• 2023

본 연구는 도서관의 인공지능 챗봇 서비스의 특징을 분석하고 도서관에 적용된 챗봇 서비스의 플랫폼에 따른 사용성을 비교한 연구로 도서관의 인공지능 챗봇 서비스의 사용성 증진을 위한 방안을 제안하는 목적으로 수행되었다. 이러한 연구 목적을 달성하기 위하여 인공지능 챗봇 서비스의 사용성 평가에 대한 선행연구를 통해 사용성 비교 요소를 추출하였고, 사례조사를 바탕으로 도서관에 적용된 인공지능 챗봇 서비스를 플랫폼에 따라 자체 웹사이트 기반과 SNS 기반의 챗봇 서비스로 구분하였다. 실험과 질문지 조사 및 면담을 실시하여 도서관에 적용된 웹사이트 기반과 SNS 기반의 챗봇 서비스의 사용성 평가를 실시하였다. 사용성 평가 결과를 토대로 도서관의 인공지능 챗봇 서비스에 대한 시사점과 개선방안을 도출하였다.

• 한국콘텐츠학회논문지
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• 제21권2호
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• pp.587-593
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• 2021

본 논문에서는 나날이 발전하는 대규모 서비스거부공격에 대해 고전적인 방식의 DDoS 대응시스템에서 벗어나, 4차 혁명 시대의 핵심기술 중의 하나인 인공지능 기반의 기술을 활용해 지능화된 서비스거부공격을 효율적으로 감내 할 수 있는 서비스모델 개발방안을 제안하였다. 즉, 다수의 보안장비, 웹서버로부터 수집된 다량의 데이터를 대상으로 머신러닝 인공지능 학습을 통해 서비스거부공격을 탐지하고 피해를 최소화할 수 있는 방안을 제안하였다. 특히, 인공지능기술을 활용하기 위한 모델을 개발은 일정한 트래픽 변화를 반복하며 안정적 흐름의 데이터를 전송이 이루어지다가 서비스거부공격이 발생하면 다른 양상의 데이터 흐름을 보인다는 점에 착안하여 서비스서부공격 탐지에 인공지능기술을 활용하였다. 서비스거부공격이 발생하면 확률기반의 실제 트래픽과 예측값과의 편차가 발생하기 때문에 공격성 데이터로 판단하여 대응이 가능하다. 이 논문에서는 보안장비나 서버에서 발생하는 로그를 기반으로 데이터를 분석하여 서비스거부공격 탐지모델을 설명하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제4권2호
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• pp.7-11
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• 2012

In this paper, we defined constructivism and ontology theory and associate it in ubiquitous learning. The typical ubiquitous learning involving the Context Aware Intelligent system was presented. Also the Architecture for learning environment including the key idea and technical concept is being presented in this paper. Guided with these principles and with the advancement of information and communication technology the context-awareness based on Artificial intelligence for Location based Service for ubiquitous Learning was conceptualized.

• 한국도서관정보학회지
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• 제52권1호
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• pp.155-178
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• 2021

4차산업혁명 시대에서 공공도서관은 인공지능과 같은 외부 환경 변화에 능동적으로 대응하기 위하여 도서관 지능형서비스 추진 전략이 필요하다. 따라서 본 연구에서는 인공지능의 개념과 국내외 인공지능 관련 동향 및 정책, 사례 등의 분석 내용을 기반으로 도서관에서의 향후 인공지능 서비스 도입 및 발전 방향성에 대해 제안하였다. 현재 도서관에서는 딥러닝, 자연어처리 등 인공지능 기술 도입을 통해 자동으로 답변을 제공하는 참고정보서비스를 운영하며, 빅데이터 기반 AI 도서 추천 및 자동 도서 점검 시스템을 개발하여 업무 활용도를 높이고, 이용자 맞춤형 서비스를 제공하고 있다. 기업 및 산업 분야에서는 국내외를 막론하고, 사용자 개인 맞춤형 등을 기반으로 한 기술을 개발하여 서비스하고 있으며, 딥러닝을 사용하여 정보를 스스로 학습하여 최적의 결과를 제공하는 식의 형태로 개발하고 있다. 이에 따라 향후 도서관에서 인공지능을 활용하여, 이용자의 이용 기록을 기반으로 한 개인 맞춤형 도서 추천, 독서·문화 프로그램 추천, 도서 택배 서비스 시 자율주행 드론·자동차 등 운송수단을 통한 실시간 배송 서비스 도입 등 다양한 서비스 개발을 도모해야 한다.