Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability

Patrick Rehill, Nicholas Biddle

Causal machine learning tools are beginning to see use in real-world policy evaluation tasks to flexibly estimate treatment effects. One issue with these methods is that the machin…