SYSTEMS AND PROCESSES FOR BIAS REMOVAL IN A PREDICTIVE PERFORMANCE MODEL

A hardware processor can generate an artificial intelligence neural network that is predictive of performance. The hardware processor can process the artificial intelligence neural network to determining whether a validity value for the artificial intelligence neural network meets a validity threshold. A predictive bias can be computed for the artificial neural network based on non-factored inputs. Nodes of the artificial neural network can be scored to compute an effect on the predictive bias. Another artificial intelligence neural network predictive of performance can be generated excluding a combination of parameters associated with a highest scored node of the artificial intelligence neural network.