The debate on the accuracy-interpretability tradeoff

In this talk we look into the debate on the alleged trade-off between accuracy and interpretability. We will discuss the literature on the implications of enforcing interpretability as an optimization constraint, navigating the contention of opting for interpretable models over black box models.

We will explore simple and powerful models which you can use to understand your data better, while we ask ourselves whether it is worth trying to use these or not, and what new problems interpretability brings to the table.


In this series