US 11,710,034 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 Feb. 27, 2019, as Appl. No. 16/287,313.
Prior Publication US 2019/0197357 A1, Jun. 27, 2019
Int. Cl. G06F 7/00 (2006.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06F 16/906 (2019.01); G06F 16/901 (2019.01); G06N 5/04 (2023.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06F 18/21 (2023.01); 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 18/217 (2023.01); G06F 18/2148 (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 non-transitory computer readable storage medium comprising instructions which, when executed by a data processing machine, cause the data processing machine to perform operations comprising:
mapping training data with inference uses in a machine learning environment, wherein the training data is used for training a machine learning model and the inference uses correspond to application of the machine learning model;
detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses;
identifying, based on the one or more discrepancies, that one or more misuses of the machine learning model occurred;
determining, based on the one or more discrepancies, a misuse index value corresponding to a misuse index; and
estimating, based on the misuse index value, a severity of the one or more misuses of the machine learning model and identify one or more responses to the one or more misuses.