all AI news
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation. (arXiv:2209.09592v1 [cs.LG] CROSS LISTED)
Sept. 22, 2022, 1:12 a.m. | Clara Rus, Jeffrey Luppes, Harrie Oosterhuis, Gido H. Schoenmacker
cs.LG updates on arXiv.org arxiv.org
The goal of this work is to help mitigate the already existing gender wage
gap by supplying unbiased job recommendations based on resumes from job
seekers. We employ a generative adversarial network to remove gender bias from
word2vec representations of 12M job vacancy texts and 900k resumes. Our results
show that representations created from recruitment texts contain algorithmic
bias and that this bias results in real-world consequences for recommendation
systems. Without controlling for bias, women are recommended jobs with
significantly …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Principal Data Engineer
@ RS21 | Remote
SQL/Power BI Developer
@ ICF | Virginia Remote Office (VA99)
Senior Machine Learning Engineer (Canada Remote)
@ Fullscript | Ottawa, ON
Software Engineer - MLOps.
@ Renesas Electronics | Toyosu, Japan
Junior Data Scientist / Artificial Intelligence consultant
@ Deloitte | Luxembourg, LU