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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling
AI models are criticized as being black boxes, potentially subjecting climate science to greater uncertainty. Explainable artificial intelligence (XAI) has been proposed to probe AI models and increase trust. In this review and perspective paper, we suggest that, in addition to using XAI methods, AI
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