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A Conceptual Architecture for Ethic-Friendly AI

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(4), pp.9-17
  • DOI : 10.9708/jksci.2022.27.04.009
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 30, 2021
  • Accepted : April 19, 2022
  • Published : April 29, 2022

Yustus-Eko Oktian 1 Stanley Brian 2 Lee, Sang-Gon 2

1부산대학교
2동서대학교

Accredited

ABSTRACT

The state-of-the-art AI systems pose many ethical issues ranging from massive data collection to bias in algorithms. In response, this paper proposes a more ethic-friendly AI architecture by combining Federated Learning(FL) and Blockchain. We discuss the importance of each issues and provide requirements for an ethical AI system to show how our solutions can achieve more ethical paradigms. By committing to our design, adopters can perform AI services more ethically.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.