Legal Regulation of Algorithmic Gender Discrimination in the Digital Age

Abstract

With the advancement of technology, algorithms have become increasingly widely applied in peoples lives, and the interdisciplinary issue of algorithms and sociology has become a new hot topic of widespread concern today. Some researchers have compared algorithmic discrimination to the information gap and preliminarily summarized the categories of algorithmic discrimination, but there is a lack of systematic and comprehensive explanation of its characteristics, classification, adverse effects, and development direction. Therefore, the research topic of this article is a more microscopic topic of algorithmic gender discrimination under the topic of algorithmic discrimination, using case analysis and systematic review. The article summarizes its concept, types, and analyzes the three reasons for its emergence. From the endogenous logic of algorithms to the inappropriate data added during the construction and upgrading of algorithms, to the non-standard system, gender discrimination in algorithms can be caused. The negative impact it brings is multifaceted in terms of economy, society, and technology. Finally, the article provides suggestions for addressing algorithmic gender discrimination from the perspectives of legislation, justice, and worker information security. This paper hope to provide theoretical basis for future in-depth research and effectively solve the problem of algorithmic gender discrimination.