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Collection of Explainable AI Methods

Database validation Test Database validation Check code cleanliness

Website: https://utwente-dmb.github.io/xai-papers/

Paper: http://dx.doi.org/10.1145/3583558

This is an exploration and visualisation website for a categorization of explainable AI papers, hosted on Github pages. The initial set of XAI papers was collected and labelled by Nauta et al. (2023) as part of a large-scale literature review on the evaluation of Explainable AI, published in ACM Computing Surveys. This website provides an interactive way to explore the dataset, and we invite the community to extend the XAI dataset in order to make this a living and curated collection of explainable AI methods.

If you want to add an XAI paper to the database, follow the instructions below.

Add a paper

Review a pull request

To review a pull request, follow these steps: