US 12,169,780 B2
Misuse index for explainable artificial intelligence in computing environments
Glen J. Anderson, Beaverton, OR (US); Rajesh Poornachandran, Portland, OR (US); and Kshitij Doshi, Tempe, AZ (US)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on May 25, 2023, as Appl. No. 18/323,843.
Application 18/323,843 is a continuation of application No. 16/287,313, filed on Feb. 27, 2019, granted, now 11,710,034.
Prior Publication US 2023/0385640 A1, Nov. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 7/00 (2006.01); G06F 16/901 (2019.01); G06F 16/906 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 10/776 (2022.01); G06V 10/778 (2022.01)
CPC G06N 3/08 (2013.01) [G06F 16/901 (2019.01); G06F 16/906 (2019.01); G06F 18/2148 (2023.01); G06F 18/217 (2023.01); G06F 18/41 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 10/776 (2022.01); G06V 10/7788 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for machine learning, comprising:
determining whether there is any misuse of a machine learning model associated with an inference of the machine learning model based on training data and inference data, wherein the machine learning model is trained with the training data, and the inference of the machine learning model is based on the inference data;
after determining that there is a misuse, determining a misuse index value for the misuse based on the inference; and
evaluating, based on the misuse index value, a severity of the misuse of the machine learning model.