When we deploy machine learning models, what are the known scenarios in which the technology does not work? In this talk, we will go over the many potential blindspots in ML deployments, and how, as a fundamentally narrow and limited technology, we need to be careful to communicate, evaluate for and directly address these risks in a way that protects users and reinforces developer accountability.