Machine learning apparatus and methods for predicting hiring progressions for demographic categories present in hiring data

Abstract

In some embodiments, a method can include receiving, during a hiring process, a set of candidate profiles associated with job information, a first slate goal for a first protected class, and a second slate goal for a second protected class. The method can further include extracting slate demographic data from the set of candidate profiles. The method can further include executing a trained machine learning model based on the first slate goal and the slate demographic data to predict a first hiring progression x, and based on the second slate goal and the slate demographic data to predict a second hiring progression x. The method can further include generating, after predicting the first hiring progression and the second hiring progression, updated job information based on the job information, the first slate goal, the first hiring progression, the second slate goal, and the second hiring progression.