15 citations · 23 across the 3 of their papers we have counts for
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cs.LG2020★ 15 cited
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Eric Chu, Deb Roy, Jacob Andreas
We present a randomized controlled trial for a model-in-the-loop regression task, with the goal of measuring the extent to which (1) good explanations of model predictions increase…
cs.CY2020
Games for Fairness and Interpretability
Eric Chu, Nabeel Gillani, Sneha Priscilla Makini
As Machine Learning (ML) systems becomes more ubiquitous, ensuring the fair and equitable application of their underlying algorithms is of paramount importance. We argue that one w…