Call for Papers
Topics of Interest
Topics of interest include, but are not limited to:
Structure learning and causal discovery
Causal inference and Bayesian networks
Interpretable machine learning
Prediction interpretation and justification
Responsible and trustable AI
Causal models and other methods for ML model interpretation and justification
Model visualisation and conveying decisions to end users
Applications of causal and explainable AI in the environment, agriculture, energy, engineering, education, finance, marketing, medicine, health and other domains.
Authors are invited to submit original papers with a limit of 8 pages maximum plus a possible 2 extra pages for references and appendices, in the IEEE 2-column format. All submissions will be triple-blind reviewed. More detailed information can be found in the IEEE ICDM 2023 Submission Guidelines. Accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press.
Manuscripts must be submitted electronically on the online submission system. Please make sure that you can see "Causal and Explainable Artificial Intelligence" on the top-right corner of the paper submission. landing page, which indicates that your submission is to the CXAI workshop.
All accepted workshop papers will be published in the 2023 IEEE International Conference on Data Mining Workshops (ICDMW) proceedings, published by the IEEE Computer Society Press.
Authors of accepted papers will be invited to submit extended versions for possible inclusion in a Special Issue on Causal and Explainable Artificial Intelligence in the Applied Sciences journal (ISSN 2076-3417, IF=2.7, CiteScore=4.5) by MDPI.
At least one author of each accepted paper must complete the ICDM 2023 conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program. The exact format of the conference (in-person, online, or hybrid) will be decided later and be announced on the ICDM 2023 website.