most citedSensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory

69 citations · 69 across the 1 of their papers we have counts for

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cs.AI2021

From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence

David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé +2

We take inspiration from the study of human explanation to inform the design and evaluation of interpretability methods in machine learning. First, we survey the literature on huma…