We strongly encourage submissions that employ methods enabling AI systems to furnish lucid and understandable explanations for their decisions.
This multidisciplinary session encompasses contributions related to the following lines of research:
Exploration of novel XAI techniques and methodologies that enhance the transparency and interpretability of ML/DL models used in geosciences.
Real-world case studies where XAI has made substantial progress in understanding and managing specific geoscience tasks and physical processes.
Process understanding via XAI and hybrid, physically-informed modeling.
Quantitative evaluation and comparison of the effectiveness of XAI models.
Strategies towards more scientifically valuable explanations (e.g., use of Large Language Models (LLMs) for XAI).