Google Cloud Platform Podcast

Max Saltonstall and new host Anu Srivastava are in the studio today talking about Vertex Explainable AI with guests Irina Sigler and Ivan Nardini. Vertex Explainable AI was born from a need for developers to better understand how their models determine classifications. Trusting the operation of models for business decision making and easier debugging are two reasons this classification understanding is so important. Explainable models help developers understand and describe how their trained models are making decisions. Google’s managed service, Vertex Explainable AI, offers Feature Attribution and Example Based Explanations to provide better understanding of model decision making. Irina describes these two services and how each works to foster better decision-making based on AI models. One or both services can be used in every stage of model building and to create a more precise model with better results. Example Based Explanations, Irina tells us, also makes it easier to explain the model to those who may n