%V 18
%P 112-114
%O This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
%D 2025
%X Uptake of explainable artificial intelligence (XAI) methods in geoscience is currently limited. We argue that such methods that reveal the decision processes of AI models can foster trust in their results and facilitate the broader adoption of AI.
%A Jesper Sören Dramsch
%A Monique M Kuglitsch
%A Miguel-Ángel Fernández-Torres
%A Andrea Toreti
%A Rustem Arif Albayrak
%A Lorenzo Nava
%A Saman Ghaffarian
%A Ximeng Cheng
%A Jackie Ma
%A Wojciech Samek
%A Rudy Venguswamy
%A Anirudh Koul
%A Raghavan Muthuregunathan
%A Arthur Hrast Essenfelder
%T Explainability can foster trust in artificial intelligence in geoscience
%J Nature Geoscience
%N 2
%I Springer Science and Business Media LLC
%L discovery10205986