ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,125, issued on Aug. 25, was assigned to Red Hat Inc. (Raleigh, N.C.).

"Application of local interpretable model-agnostic explanations on decision systems without training data" was invented by Daniele Zonca (Milan) and Tommaso Teofili (Rome).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes receiving input data that is used by a machine learning model to generate a first inference. The machine learning model was previously trained using a set of training data. The method also includes generating a set of modified input data based on the input data. The set of modified input data is generated without using the training data. The method ...