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    디자인씽킹 기반의 AI 소셜리빙랩 통합 모델에 관한 탐색적 연구 - 인간-AI 협력(HITL)과 시민 ‘AI 튜터’ 역할을 중심으로 - = A Study on the Integrated Model of AI Social Living Labs Based on Design Thinking - Focusing on Human-AI Collaboration (HITL) and the Role of Citizens as AI Tutors -

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    https://www.riss.kr/link?id=A110250988

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    [Purpose] The purpose of this study is to propose an integrated operation model for an AI Social Living Lab based on human-AI collaboration to resolve wicked social problems and foster regional innovation. AI technologies developed in controlled laboratory environments often fail to function properly in the complex real world or cause social discrimination due to data bias and opacity. Therefore, this study presents measures to overcome these limitations and facilitate cooperation between humans and AI.
    [Methodology]Through literature review and theoretical consideration, this study analyzed the limitations of existing AI development approaches and Living Labs. Based on this analysis, a theoretical model was designed by applying Stanford d.school's Design Thinking methodology to link the engineering lifecycle of AI with the co-creation process of Living Labs. Furthermore, the study defined the roles of key participants and established a governance system necessary for the operation of the model.
    [Findings]The main results of this study are as follows: First, a 5-step integrated spiral model was designed based on Design Thinking methodology to secure field relevance and high utility for AI solutions. Second, the role of citizens was redefined not as mere data providers but as 'AI Tutors' who teach context to AI and correct bias, thereby contributing to the realization of a Human-in-the-Loop (HITL) AI Social Living Lab. Third, to create an ecosystem for sustainable on-site innovation, a Quadruple Helix framework was established to ensure organic cooperation among industry, academia, government, and people, and measures for data cooperatives and adaptive regulation were proposed to secure data sovereignty.
    [Implications]This study holds academic significance in presenting a perspective of 'Socio-technical Co-evolution,' suggesting that social innovation and technological development do not occur separately but evolve together. The integrated model proposed in this study is expected to contribute to realizing 'AI for Humans' and implementing a smart society led by citizens.
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    [Purpose] The purpose of this study is to propose an integrated operation model for an AI Social Living Lab based on human-AI collaboration to resolve wicked social problems and foster regional innovation. AI technologies developed in controlled labor...

    [Purpose] The purpose of this study is to propose an integrated operation model for an AI Social Living Lab based on human-AI collaboration to resolve wicked social problems and foster regional innovation. AI technologies developed in controlled laboratory environments often fail to function properly in the complex real world or cause social discrimination due to data bias and opacity. Therefore, this study presents measures to overcome these limitations and facilitate cooperation between humans and AI.
    [Methodology]Through literature review and theoretical consideration, this study analyzed the limitations of existing AI development approaches and Living Labs. Based on this analysis, a theoretical model was designed by applying Stanford d.school's Design Thinking methodology to link the engineering lifecycle of AI with the co-creation process of Living Labs. Furthermore, the study defined the roles of key participants and established a governance system necessary for the operation of the model.
    [Findings]The main results of this study are as follows: First, a 5-step integrated spiral model was designed based on Design Thinking methodology to secure field relevance and high utility for AI solutions. Second, the role of citizens was redefined not as mere data providers but as 'AI Tutors' who teach context to AI and correct bias, thereby contributing to the realization of a Human-in-the-Loop (HITL) AI Social Living Lab. Third, to create an ecosystem for sustainable on-site innovation, a Quadruple Helix framework was established to ensure organic cooperation among industry, academia, government, and people, and measures for data cooperatives and adaptive regulation were proposed to secure data sovereignty.
    [Implications]This study holds academic significance in presenting a perspective of 'Socio-technical Co-evolution,' suggesting that social innovation and technological development do not occur separately but evolve together. The integrated model proposed in this study is expected to contribute to realizing 'AI for Humans' and implementing a smart society led by citizens.

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