Misuse index for explainable artificial intelligence in computing environments
AssigneeIntel Corporation
InventorsGLEN J. ANDERSON, RAJESH POONACHANDRAN, KSHITIJ DOSHI
Life of this patent
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Abstract
A mechanism is described for facilitating misuse index for explainable artificial intelligence in computing environments, according to one embodiment. A method of embodiments, as described herein, includes mapping training data with inference uses in a machine learning environment, where the training data is used for training a machine learning model. The method may further include detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses, classifying the one or more discrepancies as one or more misuses, and creating a misuse index listing the one or more misuses.
Claims20
At least one machine-readable 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;
- detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses;
- classifying the one or more discrepancies as one or more misuses;
- and
- creating a misuse index listing the one or more misuses.
A method comprising:
- mapping training data with inference uses in a machine learning environment, wherein the training data is used for training a machine learning model;
- detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses;
- classifying the one or more discrepancies as one or more misuses;
- and
- creating a misuse index listing the one or more misuses.
An apparatus comprising:
- one or more processors to:
- map training data with inference uses in a machine learning environment, wherein the training data is used for training a machine learning model;
- detect, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses;
- classify the one or more discrepancies as one or more misuses;
- and
- create a misuse index listing the one or more misuses.
Dependencies are inferred from the claim text.