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Conference Paper
Design of SW Framework for Trustworthy AI-Data Commons
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- Authors
- Sunhwan Lim, Youngho Suh, Donghwan Park, Sungpil Woo, Chanwon Park
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1883-1885
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Data Commons, Data utilization, Functional Architecture, Sensitive Data, User-defined, Value chain, data sovereignty