Explainable AI Solutions

Bridging gaps in interpretability for Earth observation through innovative AI methods and practical applications.

Addressing Interpretability Gaps

Focusing on selective inferences to enhance understanding and knowledge transfer in Earth observation applications.

Promoting Simple Models

Highlighting the importance of simple models with comparable accuracy to improve interpretability in real-world scenarios.

Innovative Explainable AI Solutions

We address gaps in explainable AI, focusing on utility and real-world applications while balancing complexity and accuracy in machine learning models.

Our Approach to Explainability

We emphasize practical interpretability methods, bridging the gap between complex models and user needs, while promoting knowledge transfer in Earth observation.