Neural network training with bias mitigation

A computer program product embodied in a non-transitory computer readable medium for machine learning, the computer program product comprising code which causes one or more processors to perform operations of:

• obtaining facial images for a neural network configuration and a neural network training dataset, wherein the neural network training dataset is associated with the neural network configuration;
• partitioning the facial images into multiple subgroups, wherein the multiple subgroups represent demographics with potential for biased training;
• calculating a multifactor key performance indicator (KPI) per image, wherein the calculating is based on analyzing performance of two or more image classifier models;
• and
• promoting the neural network configuration and the neural network training dataset to a production neural network, wherein the promoting is based on the multifactor key performance indicator.

A computer system for machine learning comprising:

• a memory which stores instructions;
• one or more processors coupled to the memory wherein the one or more processors, when executing the instructions which are stored, are configured to:
• obtain facial images for a neural network configuration and a neural network training dataset, wherein the neural network training dataset is associated with the neural network configuration;
• partition the facial images into multiple subgroups, wherein the multiple subgroups represent demographics with potential for biased training;
• calculate a multifactor key performance indicator (KPI) per image, wherein the calculating is based on analyzing performance of two or more image classifier models;
• and
• promote the neural network configuration and the neural network training dataset to a production neural network, wherein the promoting is based on the multifactor key performance indicator.