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Conference Paper Artificial Intelligence-Enabled Data Value Curation on AI-Data Commons
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Authors
Boyun Eom, Sunhwan Lim, Young-Ho Suh, Sungpil Woo, Dong-Hwan Park, Chan-Won Park
Issue Date
2021-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1-3
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9620838
Abstract
Recently, as the artificial intelligence technologies have been growing, the demands for 'good' data which affects the prediction accuracy of AI also have been increased. Therefore, there has been extensive work conducted on various aspects of dealing with data such as collecting, analyzing and monetizing. However, there are issues to be considered in trading data. In this paper, we introduce the enhanced AI-Data Commons which is ameliorated to solve a couple of problems in trading data.
KSP Keywords
Data Commons, Prediction accuracy, artificial intelligence, data value