Gamut - A Design Probe to Understand How Data Scientists Understand Machine Learning Models
CHI, pp. 5792019.
Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious correlations, and false generalizations. This has led to a rallying cry for model interpretability. Yet the concept of interpretability remains nebulous, such that researchers and tool designers lack actionable...More
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