Patent ID: 11900327
Assignee: CAPITAL ONE SERVICES, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for adjusting an evaluation to factor for bias, the system comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, configured to:
train, using historical data, at least one of a first machine learning model or a second machine learning model associated with bias identification;
monitor a communication session between an individual and an evaluator that is to provide the evaluation of the individual;
generate interaction data for the evaluator based on interactions of the evaluator with the individual during the communication session,
wherein the one or more processors, when generating the interaction data, are configured to input at least one of video data, image data, or audio data, obtained during the communication session, into the first machine learning model to cause the first machine learning model to output the interaction data, and
wherein the interaction data identifies data associated with at least one of:
a facial expression of the evaluator,
a gesture of the evaluator,
a speech cadence of the evaluator, or
wording used by the evaluator;

obtain evaluation information identifying the evaluation of the individual by the evaluator;
determine indications of bias of the evaluator toward the individual during the communication session in connection with a plurality of categories associated with the individual,
wherein the one or more processors, when determining the indications of bias of the evaluator, are configured to input the interaction data into the second machine learning model to cause the second machine learning model to output the indications of bias; and

adjust the evaluation of the individual in connection with a plurality of metrics, wherein the evaluation is adjusted by a plurality of different amounts based on the indications of bias.