Patent ID: 11934960
Assignee: FAIRNESS-AS-A-SERVICE, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A method comprising:
computing a disparity divergence based on an estimated distribution of a disparity affected class of data samples and an estimated distribution of a control class of data samples;
generating a distribution-matching term based on the disparity divergence, wherein the distribution-matching term mitigates an inferential disparity between the control class of data samples and the disparity affected class of data samples during a training of an unconstrained artificial neural network;
constructing a disparity-constrained loss function based on including the distribution-matching term with a target loss function; and
transforming the unconstrained artificial neural network to a disparity-constrained artificial neural network based on a training of the unconstrained artificial neural network using the disparity-constrained loss function.