【国外标准】 IEEE Guide for an Architectural Framework for Explainable Artificial Intelligence

This guide provides a technological framework that aims to increase trustworthiness of AI systems using explainable artificial intelligence (XAI) technologies and methods. The document also provides measurable solutions to evaluate AI systems in terms of explainability. Specifically, the document illustrates the following aspects of XAI systems: a) The requirements of providing human-understandable explanations for AI systems in different use-cases, for example, healthcare and financial… read more applications b) Approaches to offer a series of available tools for giving an AI model tenable explanations c) A set of measurable solutions to evaluate AI systems and corresponding performance, such as the availability, resiliency, accuracy, safety, security, and privacy of the AI system under such status read less