Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics

Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics

Abstract The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making such as in climate change applications. We address both...

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Bibliographic Details
Main Authors: Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, V. Balaji
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-11-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
deep learning
changing climate
dynamical ocean regimes
Bayesian Neural Networks
explainable AI
interpretability
Online Access:https://doi.org/10.1029/2022MS003162

Internet

https://doi.org/10.1029/2022MS003162

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