Erik Skalnes

Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness

Jonathan Zhang, Erik Skalnes, Jacob Chen, Michael Oberst

Predictive machine learning (ML) models are increasingly used to aid human decision-makers across various high-risk domains such as healthcare and criminal justice. There is a growing recognition of the need to evaluate the causal impact of deploying these systems on downstream o…Read more