The 2023 Workshop on Causal and Explainable Artificial Intelligence (CXAI) will be held in Shanghai, China on 4 December 2023, as a part of the 23rd IEEE International Conference on Data Mining (ICDM 2023).
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.
Announcements
15 May 2023: Â The online paper submission system is open.
18 Mar 2023: The CXAI workshop proposal has been accepted by ICDM 2023.
Related Conferences
AusDM 2023 - the 21st Australasian Data Science and Machine Learning Conference
Auckland, New Zealand, 11-13 December 2023
Data Analysis 2023 - the 22nd International Conference on Big Data & Data Analytics
Amsterdam, Netherlands, July 24-25, 2023
ICDM 2023 - the 23rd IEEE International Conference on Data Mining
Shanghai, China, 1-4 December 2023