算法性别歧视的法律规制路径

Study on the Legal Regulation Paths of Algorithmic Gender Discrimination

摘要: 本文聚焦人工智能时代的算法性别歧视问题，探讨其法律规制路径。算法性别歧视是用人单位或平台利用算法技术对女性实施的不合理差别对待，本质上侵犯女性人身与财产权益。当前问题源于基础数据含偏见、算法设计缺乏监管机制及侵权追责法律规定模糊。本研究指出，需通过强化算法数据审核、加强个人信息保护来清理算法数据性别歧视因素，建立健全算法审查与监督制度，构建算法性别歧视侵权追责路径，以实现算法公平与性别公正，推动人工智能技术良性发展，保障女性平等就业权。

Abstract: This paper focuses on the issue of algorithmic gender discrimination in the age of artificial intelligence and explores its legal regulation paths. Algorithmic gender discrimination refers to the unreasonable differential treatment imposed on women by employers or platforms using algorithmic technologies, which essentially infringes upon women’s personal and property rights and interests. The current problem stems from biased basic data, lack of supervision mechanisms in algorithm design, and vague legal provisions on liability for infringement. This study points out that it is necessary to eliminate gender discrimination factors in algorithmic data by strengthening algorithmic data review and personal information protection, establish and improve algorithm review and supervision systems, and construct liability investigation paths for algorithmic gender discrimination infringement. These measures aim to realize algorithmic fairness and gender justice, promote the sound development of artificial intelligence technology, and protect women’s equal employment rights.