GFGE: Unifying Explainable AI Methods through an Interpretation Framework

Excerpt

arXiv:2610.05225v1 Announce Type: new Abstract: Explainable artificial intelligence (XAI) encompasses methods that draw on different sources of information and address different explanatory needs. A common framework is needed to describe how this information becomes evidence and is communicated as an explanation for a particular recipient. We propose the General Framework for Generating Explanations (GFGE), grounded in interpretative frameworks and the complementary activities of \emph{sense-rea