Abstract: Provided is a system and method for detecting parity among a group of users and recommending changes to address the parity. In one example, the method may include generating parity values for a group of users, where each parity value comprises an indicator of inequity for a value of a respective user with respect to corresponding values of other users in the group, predicting at least one category of data that most greatly influences the parity values for the group of users based on one or more machine learning models, identifying a user that has a parity value below a predetermined threshold, and determining an action which will improve the parity value of the identified user based on the at least one predicted influential category, and outputting a recommendation which includes the action.