3 research outputs found
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
In this survey paper, we deep dive into the field of Explainable Artificial
Intelligence (XAI). After introducing the scope of this paper, we start by
discussing what an "explanation" really is. We then move on to discuss some of
the existing approaches to XAI and build a taxonomy of the most popular
methods. Next, we also look at a few applications of these and other XAI
techniques in four primary domains: finance, autonomous driving, healthcare and
manufacturing. We end by introducing a promising discipline, "Explanation
Engineering," which includes a systematic approach for designing explainability
into AI systems