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학술대회 Design of SW Framework for Trustworthy AI-Data Commons
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저자
임선환, 서영호, 박동환, 우성필, 박찬원
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1883-1885
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289370
협약과제
20HR6600, 5G-IoT 기반 고신뢰 AI-데이터 커먼즈 프레임워크 핵심기술 개발, 임선환
초록
AI/Data commons, through a data utilization value chain by ensuring data sovereignty and protecting sensitive data, support the establishment of an open collaborative ecosystem based on PCI(Participation-Collaboration-Incentives). And it can solve a variety of user-defined customized AI problems. In this paper, the high-level functional architecture for trustworthy AI/Data commons were designed.
키워드
AI Collaboration Sandbox, AI/Data Commons, AI/Data Commons Marketplace, AI/Data Commons Network
KSP 제안 키워드
Data Commons, Data utilization, Functional Architecture, Sensitive Data, User-defined, Value chain, data sovereignty