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Journal of Humanities, Arts and Social Science

ISSN Online: 2576-0548 ISSN Print: 2576-0556 CODEN: JHASAY
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ArticleOpen Access http://dx.doi.org/10.26855/jhass.2024.01.037

Legal Regulation of Algorithmic Black Boxes in Digital Government Governance

Xiangheng Li

Xi'an Polytechnic University, Xi'an, Shaanxi, China.

*Corresponding author: Xiangheng Li

Published: February 28, 2024

Abstract

The research in this paper focuses on the algorithmic black box problem in governmental algorithmic governance. It begins by advocating for the legal regulation of the algorithmic black box, exploring the balance of interests among the subjects and relationships affected by the algorithm, and aiming to identify a path toward improvement. This paper primarily presents three key arguments: the agnosticism of algorithms, the feasibility of algorithm interpretation, and algorithmic conflicts of interest. Starting from the existing legal rules and principles, and combining the elements of legislation, public participation, and responsibility attribution, we aim to incorporate principles, rules, and responsibilities into the examination of algorithmic black box issues within governmental governance. Our goal is to identify the specific regulatory approach for algorithmic black boxes through rules and value judgments.

Keyword

Government governance, algorithmic black box, legal regulation

References

Chen Gexin. (2022). Research on legal regulation of algorithmic black box. Shandong University.

Liu Bei, Ma Hao. (2023). On the Reconstruction of Algorithmic Right to Know and Algorithmic Right to Interpret. Sino-Arab Science and Technology Forum, 163-167.

Wu Zihan, Zhong Youhao. (2018). Theoretical Logic and Solution Path of AI Infringement-Based on the Clarification of "Technology Neutrality". Journal of Fujian Normal University (Philosophy and Social Science Edition), 212(5):69-80, 173.

Xie Zhengshan. (2020). Algorithmic decision-making regulation: centering on algorithmic "interpretation right". Modern Law, 42(1):179-193.

Zhang Endian. (2022). Beyond the algorithmic right to know: reflection and construction of the theoretical model of the algorithmic right to interpret. Southeast Law, 1-17.

Copyright

© 2024 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this paper

Legal Regulation of Algorithmic Black Boxes in Digital Government Governance

How to cite this paper: Xiangheng Li. (2024) Legal Regulation of Algorithmic Black Boxes in Digital Government GovernanceJournal of Humanities, Arts and Social Science8(1), 220-224.

DOI: http://dx.doi.org/10.26855/jhass.2024.01.037