Embodiments are directed to mapping and quantification of neural network features for explainable artificial intelligence. An embodiment of one or more storage mediums includes instructions for evaluating contribution of lower level features to higher level features in a neural network, the evaluation including one or more of identification of links between lower level and higher level features, and quantification of contribution of lower level features to higher level features. An embodiment of one or more storage mediums includes instructions for determining support from one or more featuresfor one or more inference decisions by a neural network; determining strength of support for each of the inference decisions; identifying one or more inference decisions with low stability based at least in part on the determined strength of support; and reevaluating the inference decisions that are identified as having low stability.
MAPPING AND QUANTIFICATION OF INFLUENCE OF NEURAL NETWORK FEATURES FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE