METHODS AND APPARATUS FOR ASSESSING DIVERSITY BIAS IN ALGORITHMIC MATCHING OF JOB CANDIDATES WITH JOB OPPORTUNITIES

    公开(公告)号:US20230237436A1

    公开(公告)日:2023-07-27

    申请号:US18127360

    申请日:2023-03-28

    申请人: iCIMS, Inc.

    摘要: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

    METHODS AND APPARATUS FOR ASSESSING DIVERSITY BIAS IN ALGORITHMIC MATCHING OF JOB CANDIDATES WITH JOB OPPORTUNITIES

    公开(公告)号:US20240289749A1

    公开(公告)日:2024-08-29

    申请号:US18656117

    申请日:2024-05-06

    申请人: iCIMS, Inc.

    摘要: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

    METHODS AND APPARATUS FOR ASSESSING DIVERSITY BIAS IN ALGORITHMIC MATCHING OF JOB CANDIDATES WITH JOB OPPORTUNITIES

    公开(公告)号:US20230026042A1

    公开(公告)日:2023-01-26

    申请号:US17376665

    申请日:2021-07-15

    申请人: iCIMS, Inc.

    IPC分类号: G06Q10/10 G06Q30/02 G06N3/08

    摘要: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.