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텍스트마이닝을 활용한 생성형 AI 이용약관 분석 및 거버넌스 진단
Governance Diagnoses on Generative AI Platforms Through Analyses of their Terms of Use

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.32 No.3 (2025.06)바로가기
  • 페이지
    pp.35-50
  • 저자
    노해빈, 김경민
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A470211

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원문정보

초록

영어
AI technology is evaluated as a core technology leading the digital transformation of industry. At the same time, social demands for responsible AI and AI governance that emphasize ethical use of data and transparency of algorithms are also continuously expanding. Accordingly, this study defined the concept of AI governance through a review of prior research, and conducted a case study from a historical perspective to examine the interrelationship between AI governance and non-financial value of a company, such as social reputation. In order to diagnose the AI governance of a company, the AI policy of the company, that is, the terms of use and data processing policy of a generative AI platform company, was used as surrogates, and text mining was used to analyze the AI policy of each platform over time to examine the relationship between the company's reputation and AI governance. As a result, while governance research has traditionally focused on building a system for an organization that manages and supervises managers as agents from the perspective of shareholders, AI governance can be defined as a AI policy management system of a company that manages the reputation of a company by reflecting the demands of various stakeholders in AI policies for responsible AI development and distribution. The establishment of governance that accommodates stakeholders’ demands for the development and distribution of responsible AI can be a goal that companies must achieve in terms of non-financial value, as it secures transparency in innovative creations such as AI, builds trust with stakeholders, and enhances their reputation as a ‘responsible AI provider.’

목차

Abstract
1. 서론
2. 선행연구
2.1 책임 있는 AI(Responsible AI)
2.2 AI 거버넌스
3. 연구방법
4. 데이터 분석 및 연구 결과
4.1 챗지피티
4.2 제미나이
5. 결론 및 향후 연구
References

키워드

Responsible AI AI Governance and Corporate Reputation

저자

  • 노해빈 [ Hae-been Noh | Pre-Graduate Research Intern, College of Business, Ewha Womans University ] First Author
  • 김경민 [ Gyeung-min Kim | Professor, College of Business Ewha Womans University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 간행물명
    JITAM [Journal of Information Technology Applications and Management]
  • 간기
    격월간
  • pISSN
    1598-6284
  • eISSN
    2508-1209
  • 수록기간
    1999~2026
  • 십진분류
    KDC 005 DDC 005

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