Towards a general framework for improving the performance of classifiers using XAI methods

arXiv:2403.10373v1 Announce Type: new
Abstract: Modern Artificial Intelligence (AI) systems, especially Deep Learning (DL) models, poses challenges in understanding their inner workings by AI researchers. eXplainable Artificial Intelligence (XAI) inspects internal mechanisms of AI models providing explanations about their decisions. While current XAI research predominantly concentrates on explaining AI systems, there is a growing interest in using XAI techniques to automatically improve the performance of AI systems themselves. This paper proposes a general framework for automatically improving the performance of …

abstract ai models ai researchers artificial artificial intelligence arxiv challenges classifiers cs.lg current decisions deep learning explainable artificial intelligence framework general intelligence modern performance research researchers systems type understanding xai