SYSTEM, METHOD, AND COMPUTER PROGRAM FOR AUTOMATICALLY REMOVING DATA FROM CANDIDATE PROFILES THAT MAY INFLUENCE BIAS

The present disclosure describes a system, method, and computer program for removing or replacing information in candidate profiles that may influence bias. The system identifies data in candidate profiles that may influence bias with respect to one or more defined classes of bias, such as gender, race, or age. The identified data is removed or replaced with an abstracted/neutral form of the data. The system may also remove information that personally identifies a candidate. In certain embodiments, the system determines what data is relevant for the job for which a candidate is applying and, for data that is relevant, at what level it is relevant (i.e., at the base value or an abstracted level). In such embodiments, the system removes data from the candidate's profile that is not relevant for the job role and, where applicable, abstracts some of the remaining data to levels that are relevant for the job role.