TempXAI: Explainable AI for Time Series and Data Streams Tutorial-Workshop

TempXAI:  Explainable AI for Time Series and Data Streams Tutorial-Workshop | Vilnius, Lithuania | September 9-13 2024

Members of Project C03 are involved in organizing a workshop at "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024". This full day workshop focuses on exploring the crucial intersection of Explainable AI (XAI) and the challenges posed by time series and data streams. Our primary objectives include understanding Dynamic Interpretability, delving into techniques that offer transparent insights into time-evolving data, and providing a better understanding of machine learning models in dynamic environments. We aim to advance Incremental Explainability by investigating methods that ensure interpretability remains effective as models adapt to changing data over time or methods that are able to explain these changes. Moreover, we seek to promote Real-time Decision-making by exploring applications of XAI in real-time decision-making scenarios, addressing the need for interpretable models in time-sensitive contexts. The workshop also aims to share practical insights by encouraging the sharing of novel XAI tools that are specific to time series and data streams, in addition to case studies and practical implementations in employing interpretable machine learning for time series and data streams.

This workshop will be held at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024. If you have further questions, feel free to contact us: tempxaiworkshop@gmail.com

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