论文标题
需要标准化的解释性
The Need for Standardized Explainability
论文作者
论文摘要
可解释的AI（XAI）在行业级AI中至关重要；但是，现有方法无法解决这种必要性，部分原因是缺乏解释性方法的标准化。本文的目的是为解释性领域的当前状态提供视角，并为开始标准化这一研究领域提供了新颖的定义。为此，我们概述了有关解释性的文献以及已经实施的现有方法。最后，我们提供了不同解释性方法的初步分类法，为未来的研究打开了大门。
Explainable AI (XAI) is paramount in industry-grade AI; however existing methods fail to address this necessity, in part due to a lack of standardisation of explainability methods. The purpose of this paper is to offer a perspective on the current state of the area of explainability, and to provide novel definitions for Explainability and Interpretability to begin standardising this area of research. To do so, we provide an overview of the literature on explainability, and of the existing methods that are already implemented. Finally, we offer a tentative taxonomy of the different explainability methods, opening the door to future research.
