System and method for identifying input features contributing to latent bias in inference models

Abstract

Methods, systems, and devices for providing computer-implemented services are disclosed. To provide the computer-implemented services, inference models used by data processing systems may be managed to reduce the likelihood of the inference models providing inferences indicative of bias features. The inference models may be managed by identifying input features in the training data set used to train the inference models with a high contribution to latent bias exhibited by the inference models. The input features may be removed from the training data set and a new inference model may be trained using the remainder of the input features. The new inference model may replace the inference model and, therefore, the inferences provided by the new inference model may be less likely to include latent bias thereby reducing bias in computer-implemented services provided using the inferences.