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      AI Ethics 관련 학술연구 동향 분석: 네트워크 텍스트 분석을 중심으로

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      https://www.riss.kr/link?id=A109055351

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      This study analyzed the trends in AI ethics research in Korea from January 2006 to October 2023 to identify future research directions. A total of 193 Korean articles published until October 2023 were analyzed, and five keywords per article were selected for frequency analysis. Additionally, a network analysis was conducted on the top frequency keywords to visualize and clarify the interrelationships among them. Our findings can be summarized as follows: first, although the amount of AI ethics-related research is increasing, more studies should focus on the practical and application aspects of AI ethics. Second, a more profound discussion is required to determine the AI ethics-related content to be taught and the methods for teaching it. Third, future studies must explore the contributions of AI technology to societal inequality structures and methods for preventing them.
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      This study analyzed the trends in AI ethics research in Korea from January 2006 to October 2023 to identify future research directions. A total of 193 Korean articles published until October 2023 were analyzed, and five keywords per article were selec...

      This study analyzed the trends in AI ethics research in Korea from January 2006 to October 2023 to identify future research directions. A total of 193 Korean articles published until October 2023 were analyzed, and five keywords per article were selected for frequency analysis. Additionally, a network analysis was conducted on the top frequency keywords to visualize and clarify the interrelationships among them. Our findings can be summarized as follows: first, although the amount of AI ethics-related research is increasing, more studies should focus on the practical and application aspects of AI ethics. Second, a more profound discussion is required to determine the AI ethics-related content to be taught and the methods for teaching it. Third, future studies must explore the contributions of AI technology to societal inequality structures and methods for preventing them.

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