• Title/Summary/Keyword: 알고리즘 거버넌스

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An Exploratory Study on Policy Decision Making with Artificial Intelligence: Applying Problem Structuring Typology on Success and Failure Cases (인공지능을 활용한 정책의사결정에 관한 탐색적 연구: 문제구조화 유형으로 살펴 본 성공과 실패 사례 분석)

  • Eun, Jong-Hwan;Hwang, Sung-Soo
    • Informatization Policy
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    • v.27 no.4
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    • pp.47-66
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    • 2020
  • The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

A Study on Authentication Model using Blockchain (블록체인 기술을 활용한 진본인증 모형 연구)

  • Lee, Kyung-nam
    • The Korean Journal of Archival Studies
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    • no.59
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    • pp.47-78
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    • 2019
  • With the rapid changes in the digital technology, it is necessary to shift to a new paradigm corresponding to the changing environment was recognized. This study actively explores the possibility of applying new technologies for recordkeeping. This study aimed to investigate the applicability of blockchain to recordkeeping and to develop a new model for recordkeeping based on it. Through a conceptual analysis of blockchain and consideration of the recordkeeping process, a blockchain model that is suitable for the authentication of records was proposed. For this the network structure, the structure of blockchain blocks, a consensus algorithm, and recordkeeping blockchain model were designed. It also predicted potential changes in digital records management when applying blockchain. It predicted change in governance aspects to implement a horizontal cooperation system among the archives.

Effects on the continuous use intention of AI-based voice assistant services: Focusing on the interaction between trust in AI and privacy concerns (인공지능 기반 음성비서 서비스의 지속이용 의도에 미치는 영향: 인공지능에 대한 신뢰와 프라이버시 염려의 상호작용을 중심으로)

  • Jang, Changki;Heo, Deokwon;Sung, WookJoon
    • Informatization Policy
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    • v.30 no.2
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    • pp.22-45
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    • 2023
  • In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.