ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,505,386, issued on Dec. 23, was assigned to The Huntington National Bank (Columbus, Ohio).

"Detecting and reducing bias in machine learning models" was invented by Robert Carnell (Columbus, Ohio), Daniel R. Tuthill (Columbus, Ohio), Jingyu Song (Columbus, Ohio) and Xuelei Yuan (Columbus, Ohio).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques are described herein for verifying and/or reducing bias in machine learning (ML) models. An ML model may be trained using a baseline training data set (TDS). A second TDS may be generated from the baseline TDS based on executing a classification algorithm to assign each example to one of a set of classes. Th...