Learning by Self-Explaining

arXiv:2309.08395v2 Announce Type: replace-cross
Abstract: Current AI research mainly treats explanations as a means for model inspection. Yet, this neglects findings from human psychology that describe the benefit of self-explanations in an agent's learning process. Motivated by this, we introduce a novel approach in the context of image classification, termed Learning by Self-Explaining (LSX). LSX utilizes aspects of self-refining AI and human-guided explanatory machine learning. The underlying idea is that a learner model, in addition to optimizing for the original …

abstract agent ai research arxiv benefit classification context cs.ai cs.lg current human image novel process psychology research type