The explanation game: a formal framework for interpretable machine learning
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DOI: 10.1007/s11229-020-02629-9
Abstract: We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation(s) for… read more here.
Keywords: explanation; game; machine learning; framework interpretable ... See more keywords