A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
By Timo Speith. Conference on Fairness, Accountability and Transparency, 2022
319 citations recorded by the source corpus.
The recent surge in publications related to explainable artificial intelligence (XAI) has led to an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this reason, articles and reviews that present taxonomies of XAI methods seem to be a welcomed way to get an overview of the field. Building on this idea, there is currently a trend of producing such taxonomies, leading to several competing approaches to construct them. In this paper, we will review recent approaches to constructing taxonomies of XAI methods and discuss general challenges concerning them as well as their individual advantages and limitations. Our review is intended to help scholars be aware of challenges current taxonomies face. As we will argue, when charting the field of XAI, it may not be sufficient to rely on one of the approaches we found. To amend this problem, we will propose and discuss three possible solutions: a new taxonomy that incorporates the reviewed ones, a database of XAI methods, and a decision tree to help choose fitting methods.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/6e27fccd0ea73c16e9dc70e62f260f776837178f
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In Artificial Intelligence
- Longo Luca
- Ernesto Damiani
- Zhibo Zhang
- Fatma Taher
- Chan Yeob Yeun
- Hussam Al Hamadi
- Mario Brcic
- Javier Del Ser
Citations in the corpus
- Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions (2023, methodology): “Expanded lists with further terms and concepts can be found in [4,5,18,27,28].”
- Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research (2022, background): “However, in recent years, the terminology for the term “interpretability” has shifted to information extraction rather than providing explanations [42], meaning that the terms of interpretability and explainability are becoming more diverse while still intersecting with each other.”