In the meantime, a wide variety of terminologies, motivations, approaches and evaluation criteria have been developed within the scope of research on explainable artificial intelligence (XAI). Many taxonomies can be found in the literature, each with a different focus, but also showing many points of overlap. In this paper, we summarize the most cited and current taxonomies in a meta-analysis in order to highlight the essential aspects of the state-of-the-art in XAI. We also present and add terminologies as well as concepts from a large number of survey articles on the topic. Last but not least, we illustrate concepts from the higher-level taxonomy with more than 50 example methods, which we categorize accordingly, thus providing a wide-ranging overview of aspects of XAI and paving the way for use case-appropriate as well as context-specific subsequent research.
翻译:同时,在关于可解释的人工智能(XAI)的研究范围内,制定了各种各样的术语、动机、方法和评价标准,在文献中可以找到许多分类,每个分类有不同的重点,但也显示许多重叠点。在本文件中,我们在元分析中总结了最引证的和目前的分类,以突出XAI中最新技术的基本方面。我们还提出并增加了大量关于该专题的调查文章中的术语和概念。最后但并非最不重要的是,我们用50多个实例方法来说明高级分类学的概念,我们据此分类,从而对XAI的各个方面进行广泛的概述,并为使用适合案例和具体背景的后续研究铺平道路。