Mel Andrews

The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning

Fairness metrics are a core tool in the fair machine learning literature (FairML), used to determine that ML models are, in some sense, “fair.” Real-world data, however, are typically plagued by various measurement biases and other violated assumptions, which can render fairness assessments meaningl…