CPC G06N 20/00 (2019.01) [G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/2451 (2023.01); G06Q 10/067 (2013.01); G06Q 40/12 (2013.12)] | 18 Claims |
1. A method comprising:
obtaining, by a computing system, a dataset used to interpret a binary decision of an artificial intelligence model, the dataset being used to make the binary decision;
generating, by the computing system, one or more constraints for the obtained dataset;
identifying, by the computing system, a first data point for identification of one or more insights thereabout;
generating, by the computing system, a plurality of data points from the dataset that are in proximity to the first data point;
identifying, by the computing system, a subset of data points from the generated plurality of data points satisfying the one or more constraints;
applying, by the computing system, a linear model on the identified subset of data points satisfying the one or more constraints; and
generating, by the computing system and based on the linear model, the one or more insights illustrating the binary decision of the artificial intelligence model.
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