Conferences
4 December 2023, Shanghai, China
CXAI 2023—the ICDM 2023 Workshop on Causal and Explainable Artificial Intelligence
Over the last decade, machine learning (ML) and artificial intelligence (AI) have been increasingly adopted in various domains, such as healthcare, finance, and transportation. However, the lack of transparency and interpretability in AI/ML models has resulted in a growing demand to make them more understandable to humans. This is crucial for ensuring effective collaboration between humans and AI systems, and for ensuring regulatory compliance. Therefore, the upcoming CXAI workshop aims to address these challenges by providing a platform for AI/ML researchers and practitioners from various countries to share their recent research outcomes and experiences in causal inference/discovery and interpretable/explainable AI. The workshop will take place on 4 Dec 2023 and will focus on improving transparency and interpretability in AI/ML models for real-world applications.
Topics of interest include, but are not limited to, the following:
- Structure learning and causal discovery;
- Causal inference and Bayesian networks;
- Counterfactual reasoning;
- Interpretable machine learning;
- Explainable methods;
- Model interpretability;
- Feature importance;
- Prediction interpretation and justification;
- Responsible and trustable AI;
- Ethical 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.
Important Dates
27 Aug 2023: Abstract registration
3 Sept 2023: Paper submission deadline
24 Sept 2023: Notification of acceptance
1 Oct 2023: Camera-ready deadline
4 Dec 2023: Workshop date
