可信ai数据共享的SW框架设计

2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI:10.1109/ICTC49870.2020.9289370

Sunhwan Lim, Young-Ho Suh, Donghwan Park, Sungpil Woo, Chanwon Park

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引用次数: 2

摘要

人工智能/数据共享，通过确保数据主权和保护敏感数据的数据利用价值链，支持建立基于PCI(参与-协作-激励)的开放协作生态系统。并且可以解决各种用户自定义的人工智能问题。本文设计了可信AI/数据共享的高级功能体系结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design of SW Framework for Trustworthy AI-Data Commons

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.

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2020 International Conference on Information and Communication Technology Convergence (ICTC)

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