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Autor:
Hameed, Isha, Sharpe, Samuel, Barcklow, Daniel, Au-Yeung, Justin, Verma, Sahil, Huang, Jocelyn, Barr, Brian, Bruss, C. Bayan
Explainable artificial intelligence (XAI) methods lack ground truth. In its place, method developers have relied on axioms to determine desirable properties for their explanations' behavior. For high stakes uses of machine learning that require expla
Externí odkaz:
http://arxiv.org/abs/2207.05566