Join other researchers interested in the intersection of statistical methods and health equity. We'll kick off with an intro the Statistical Methods Theme, a round of introductions, followed by a talk and discussion. Look forward to seeing you!

This time we have Vishwali Mhasawade, from New York University, talking about disparities in post hoc machine learning explanations. We will discuss issues with current methodolgies and proposed recommendations for the design of explanation methods to be able to mitigate these undesireable disparities.