US Patent Issued to Adobe on Feb. 24 for "Reducing bias in machine learning models utilizing a fairness deviation constraint and decision matrix" (California Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,222, issued on Feb. 24, was assigned to Adobe Inc. (San Jose, Calif.).

"Reducing bias in machine learning models utilizing a fairness deviation constraint and decision matrix" was invented by Meghanath Macha Yadagiri (San Jose, Calif.), Anish Narang (Santa Clara, Calif.), Deepak Pai (Sunnyvale, Calif.), Sriram Ravindran (San Jose, Calif.) and Vijay Srivastava (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to systems, methods, and non-transitory computer readable media that control bias in machine learning models by utilizing a fairness deviation constraint to learn a decision matrix that modifies mac...