48 citations · 65 across the 2 of their papers we have counts for
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cs.LG2019★ 17 cited
Equalizing Recourse across Groups
Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy +1
The rise in machine learning-assisted decision-making has led to concerns about the fairness of the decisions and techniques to mitigate problems of discrimination. If a negative d…
cs.LG2019★ 48 cited
Assessing the Local Interpretability of Machine Learning Models
Dylan Slack, Sorelle A. Friedler, Carlos Scheidegger +1
The increasing adoption of machine learning tools has led to calls for accountability via model interpretability. But what does it mean for a machine learning model to be interpret…