Degendering Resumes for Fair Algorithmic Resume Screening · HackerPapers discussions

Degendering Resumes for Fair Algorithmic Resume Screening — mentioned by quanto

Fri, 17 Dec 2021 10:56:16 GMT

Original paper: https://arxiv.org/pdf/2112.08910.pdf The entire premise of the research relies on the fact that the resume samples were well matched: in other words, the quality of male candidates was equal to that of female counterparts. In the paper, it says Specifically, we perform 1-1 matching without replacement such that for each male resume, we find a female resume that is within 2 years of experience, has the same degree, field of study, and has a resume similarity score (i.e. cosine similarity of resume vector representations) of at least 0.7. I am not sure if this method is…

Paper and discussion history. A mention is not an endorsement.

Degendering Resumes for Fair Algorithmic Resume Screening — mentioned by Zababa

Fri, 17 Dec 2021 10:44:29 GMT

Link to the actual paper here: https://arxiv.org/pdf/2112.08910.pdf Edit after having read it: It's short and easy to read, I would suggest reading it instead of the article linked. I think that more work should be needed before making suggestions. For example, is there a correlation between the "number of words" and the gendering of a resume? Maybe something like "I was the manager of the soap team for 3 years, during which sales increased by 25.6%" compared to "2012-2015: soap team manager". Though this convey less informations. Maybe a KPI box for each job? Another thing that I would have…

Paper and discussion history. A mention is not an endorsement.