When designing for machine learning products and features, understanding mental models is crucial. Users need to feel like they understand how the machine came up with the result. Winter Wei, Design Lead at Kira Systems explains how she designs trust and interpretability into machine learning products. To get all the show links, visit our episode post: https://www.askai.org/post/can-trust-be-designed-into-artificial-intelligence