4 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
Auditing Predictive Models for Intersectional Biases
Kate S. Boxer, Edward McFowland, Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for i…
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
Neil Menghani, Edward McFowland, Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic…
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar, Qingyu Mo, Edward McFowland +1
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipel…