A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
Indexed incrossrefdatacite
Abstract
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…
Citation impact
310
total citations
- FWCI
- 28.99
- Percentile
- 100%
- References
- 71
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Computer science
- Taxonomy (biology)
- Field (mathematics)
- Construct (python library)
- Data science
- Management science
- Artificial intelligence
- Engineering
UN Sustainable Development Goals
- Peace, Justice and strong institutions
No related works found for this paper.