Nature Perspective: explainable AI plus causal reasoning enables learning from models
burny_tech · x · 2026-09-03
A Nature Perspective, Explainable AI: learning from the learners, argues that explainable AI (XAI), used alongside causal reasoning and domain validation, enables learning from the learners. Focusing on discovery, optimization, and certification, the authors show how foundation models and explainability methods can expose model-internal decision processes, generate candidate mechanistic hypotheses, guide robust design and control, and support trust and accountability in high-stakes applications.
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