생성형 인공지능 이해관계자를 위한 윤리 가이드라인 개발 연구: 서울시 맥락에서의 3대 기본원칙과 9대 핵심요건
A Study on the Development of Ethical Guidelines for Generative AI Stakeholders
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This study develops an ethical framework for generative artificial intelligence (GenAI) tailored to the context of Seoul, a representative local government. Amid the rapid proliferation of generative AI services and associated ethical concerns—such as hallucinations, malicious use, data leakage, copyright infringement, and environmental impacts—this research identifies nine major risk types affecting users, operators, and developers. Drawing on international and domestic guidelines, the study formulates nine core requirements and three fundamental principles: user-centricity, risk prevention, and sustainability. The framework was refined through literature review, analysis of real-world cases, and four rounds of expert focus group interviews. Findings suggest that the proposed framework can serve as a voluntary, non-coercive guideline to promote responsible AI use and governance in local contexts. The study contributes to bridging the gap between general AI ethics and practical, context-specific guidelines, supporting safer and more sustainable adoption of generative AI in urban governance.
Abstract
This study develops an ethical framework for generative artificial intelligence (GenAI) tailored to the context of Seoul, a representative local government. Amid the rapid proliferation of generative AI services and associated ethical concerns—such as hallucinations, malicious use, data leakage, copyright infringement, and environmental impacts—this research identifies nine major risk types affecting users, operators, and developers. Drawing on international and domestic guidelines, the study formulates nine core requirements and three fundamental principles: user-centricity, risk prevention, and sustainability. The framework was refined through literature review, analysis of real-world cases, and four rounds of expert focus group interviews. Findings suggest that the proposed framework can serve as a voluntary, non-coercive guideline to promote responsible AI use and governance in local contexts. The study contributes to bridging the gap between general AI ethics and practical, context-specific guidelines, supporting safer and more sustainable adoption of generative AI in urban governance.