How much X is in XAI: Responsible use of “Explainable” artificial intelligence in hydrology and water resources

Explainable Artificial Intelligence (XAI) offers the promise of being able to provide additional insight into complex hydrological problems. As the “new kid on the block”, these methods are embraced enthusiastically and often viewed as offering something radically new and different. However, upon cl...

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Bibliographic Details
Main Authors: Holger Robert Maier, Firouzeh Rosa Taghikhah, Ehsan Nabavi, Saman Razavi, Hoshin Gupta, Wenyan Wu, Douglas A.G. Radford, Jiajia Huang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Hydrology X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589915524000154
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