Title:
PERFORMANCE MODEL ADVERSE EFFECT CORRECTION
Document Type and Number:
Japanese Patent JP2021009721
Kind Code:
A
Abstract:
To provide a technology for training a predictive model.SOLUTION: A processing device collects digital interview data including features identified from candidate interviews. A model training tool selects a data set of the digital interview data. The data set includes a predicted performance outcome and an actual performance outcome for each of candidates. The tool determines an error metric for each of the plurality of candidates. The error metric includes a relationship between the predicted performance outcome and the actual performance outcome for each candidate. The tool determines a number of candidates whose digital interview data includes a feature corresponding to a protected class. The tool normalizes an effect of each candidate on the error metric on the basis of the corresponding protected class and applies the normalized error metric to reduce bias in the predictive model with respect to the protected class.SELECTED DRAWING: Figure 1
Inventors:
LOREN LARSEN
BENJAMIN TAYLOR
BENJAMIN TAYLOR
Application Number:
JP2020170863A
Publication Date:
January 28, 2021
Filing Date:
October 09, 2020
Export Citation:
Assignee:
HIREVUE INC
International Classes:
G06N20/00; G06Q10/10; G06Q10/04; G16Y20/40; G16Y40/20
Attorney, Agent or Firm:
Asamura patent office