%0 Journal Article
%A Dramsch, Jesper Sören
%A Kuglitsch, Monique M
%A Fernández-Torres, Miguel-Ángel
%A Toreti, Andrea
%A Albayrak, Rustem Arif
%A Nava, Lorenzo
%A Ghaffarian, Saman
%A Cheng, Ximeng
%A Ma, Jackie
%A Samek, Wojciech
%A Venguswamy, Rudy
%A Koul, Anirudh
%A Muthuregunathan, Raghavan
%A Hrast Essenfelder, Arthur
%D 2025
%F discovery:10205986
%I Springer Science and Business Media LLC
%J Nature Geoscience
%N 2
%P 112-114
%T Explainability can foster trust in artificial intelligence in geoscience
%U https://discovery.ucl.ac.uk/id/eprint/10205986/
%V 18
%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.
%Z This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.