Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks

arXiv:2405.16259v1 Announce Type: cross
Abstract: This paper introduces the front-propagation algorithm, a novel eXplainable AI (XAI) technique designed to elucidate the decision-making logic of deep neural networks. Unlike other popular explainability algorithms such as Integrated Gradients or Shapley Values, the proposed algorithm is able to extract an accurate and consistent linear function explanation of the network in a single forward pass of the trained model. This nuance sets apart the time complexity of the front-propagation as it could be running …

abstract algorithm algorithms arxiv cs.ai cs.lg decision explainability explainable ai extract front function linear logic making networks neural networks novel paper popular propagation type values xai