Explaining Explanations in AI

4 Nov 2018Brent MittelstadtChris RussellSandra Wachter

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break... (read more)

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