Guide for an Architectural Framework for Explainable Artificial Intelligence

This guide provides a technological framework that facilitates the increase of trustworthiness of AI (Artificial Intelligence) systems, by using explainable artificial intelligence (XAI) technologies and methods including the following aspects:1) the requirements of providing XAI systems in different application scenarios;2) the categorization of a series of XAI tools that offer human-understandable explanations; and3) a set of measurable solutions to evaluate XAI systems in terms of performances concerning the accuracy, privacy, and security.