Guide for an Architectural Framework for Explainable Artificial Intelligence

Abstract

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; and

3) a set of measurable solutions to evaluate XAI systems in terms of performances concerning the accuracy, privacy, and security.

General Information

ICT rolling plan topic: Citiverse

SDO: IEEE

Latest publishied version: https://standards.ieee.org/ieee/2894/10284/