• Title/Summary/Keyword: Algorithm Transparency Act

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A Study on the Algorithm Transparency Act and Right to Explanation - Focus on the Review of Algorithm Transparency Act -

  • Lee, Young-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.11
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    • pp.233-236
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    • 2021
  • Recently, the Justice Party is pushing for legislation of a bill called the Algorithm Transparency Act. The bill is a revision to the Information and Communication Network Act proposed by Rep. Ryu Ho-jung on June 25, 2021, and aims to form a separate committee under the Korea Communications Commission to ask organizations operated for profit to search algorithms and explain the principles of arrangement. Currently, Korea treats algorithms as corporate secrets and does not disclose them, while the European Union (EU) implements the Personal Information Protection Regulations (GDPR) in relation to algorithm regulations. Therefore, this study summarizes the main contents of the Algorithm Transparency Act currently proposed to the National Assembly and reviews the current status of algorithm-related laws and systems in the European Union (EU) and the improvement of algorithm transparency.

Design Research of Blockchain, Machine Learning for the management of financing fund (융자성 기금관리를 위한 블록체인, 머신러닝 설계 연구)

  • Oh, Rag-seong;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.10
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    • pp.1201-1208
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    • 2019
  • The government has operated financing fund under the National Finance Act for the smooth conduct of national policy. But, It is exposed to problems such as the possibility of abuse of fund and the lack of after-loan management. In this paper, It uses fintech such as the blockchain and machine learning to solve these problems. The fund operation procedure is designed as a consortium blockchain, and it suggests the application of PBFT negotiation algorithm and the smart contract. In case of the fund management, it suggests utilizing multilayer artificial neural network model of machine learning and a module of result interpretation. The introduction of this research approach will improve the transparency and efficiency of the financing fund, ensure the credibility and also contribute to the improvement of the fund management and the establishment of the fund policy.