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XAI Method Properties: A (Meta-)study.

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TLDR
In this paper, the authors 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 explainable artificial intelligence.
Abstract
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.

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Trending Questions (2)
What kind of taxonomie use explainable ai?

The paper mentions that there are many taxonomies in the literature on explainable artificial intelligence (XAI), each with a different focus and showing points of overlap. However, it does not specify the kind of taxonomies used in XAI.

How does the literature define the taxonomy of XAI?

The literature on XAI defines the taxonomy through various terminologies, motivations, approaches, and evaluation criteria, with many points of overlap.