International Business Machines Corporation
METHODS FOR DETECTING AND MONITORING BIAS IN A SOFTWARE APPLICATION USING ARTIFICIAL INTELLIGENCE AND DEVICES THEREOF

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Abstract:

A computer-implemented method for detecting and monitoring bias in an application includes index training data and obtaining a plurality of correlation values of one or more features in the indexed training data with a target variable. For each of the one or more features, a first value and a favorable result and a second value along with the unfavorable result is calculated. An absolute value of a difference between the calculated first value and the calculated second value is calculated. A total sum of the calculated absolute value of the plurality of correlation values of the one of the one or more features is calculated.

Status:
Application
Type:

Utility

Filling date:

13 Jul 2020

Issue date:

13 Jan 2022