Legal Regulation of Algorithmic Discrimination

Zhi Zhu

doi:10.54254/2753-7102/1/2021009

Research Article

Open access

Published on 22 December 2021

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Zhu,Z. (2021). Legal Regulation of Algorithmic Discrimination. Advances in Social Behavior Research,1,65-72.

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Legal Regulation of Algorithmic Discrimination

Zhi Zhu *^,1,

¹ Institute of Law, Central University of Finance and Economics

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7102/1/2021009

Abstract

Algorithmic discrimination is a kind of unreasonable, unequal treatment based on algorithms, which is widely existing in all areas of our social and economic life. Compared with traditional discrimination, algorithmic discrimination is inherent, professional and concealed. In practice, both market forces and government regulation have certain limitations in regulating algorithmic discrimination. On the one hand, enterprise autonomy often fails due to benefit considerations, while industry self-discipline lacks a set of mature and effective rules. On the other hand, in addition to the lack of complete algorithm review mechanisms and accountability systems, government supervision is also limited by technical regulatory difficulties. Therefore, it is necessary to further improve the legislation of algorithmic discrimination, set up algorithm review institutions, establish algorithm review mechanisms and strengthen industry and enterprise self-discipline.

Keywords

algorithm review, big data, algorithmic discrimination

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References

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Cite this article

Zhu,Z. (2021). Legal Regulation of Algorithmic Discrimination. Advances in Social Behavior Research,1,65-72.

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About volume

Volume title: Proceedings of The 2nd International Conference on Educational Innovation and Philosophical Inquiries (ICEIPI 2021)

Conference website:

ISBN：978-1-915371-04-1(Print) / 978-1-915371-05-8(Online)

Conference date: 12 August 2021

Editor：

Series: Advances in Social Behavior Research

Volume number: Vol.1

ISSN：2753-7102(Print) / 2753-7110(Online)

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