A brief Review on the Role of Context in Explainable AI

While contextual data plays an important role for the outputs generated by AI models, it has not been fully considered when providing explanations about how and why those models generated such outputs. In the current paper we delve into previous research studies in order to provide an overview about the different uses of contextual data when enhancing the explanations for AI models. The inclusion and exclusion criteria are presented and a brief review of previous papers is captured, categorized by different ways to include contextual data into AI models. This paper pretends to foster research in leveraging the potential of contextual information for enhancing AI explainability.