Measuring Bias in Job Recommender Systems: Auditing the Algorithms
收藏NBER2024-09-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w32889
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资源简介：
We use an algorithm audit of Chinas four largest job boards to measure the causal effect of a job seekers gender on the jobs that are recommended to them, and to identify the algorithmic processes that generate those recommendations. Focusing on identical male and female worker profiles seeking jobs
提供机构：
美国国家经济研究局
创建时间：
2024-09-01
