Stop Explaining Black Box Machine Learning Models for High States Decisions and Use Interpretable Models Instead

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XAI › Papers > Critiques: “Authors present a number of issues with explainable ML and challenges to interpretable ML: (1) constructing optimal logical models, (2) constructing optimal sparse scoring systems, (3) defining interpretability and creating methods for specific methods. They also offer an…”