Explainable AI: From Theory to Practice With Dataiku

Explainable AI has become a powerful mitigating force that enables modelers, regulators, and laypeople to have more trust and confidence in machine learning models. However, it’s not always easy for data scientists to implement models that are explainable. In this webinar, Dataiku’s Christina Hsiao, senior product marketing manager, and Du Phan, research scientist, will discuss fairness and explainability concepts both generally and in Dataiku. They will also discuss the research and reasoning behind why Dataiku’s R&D team chose the path they did for the features developed, the trade-offs between white-box and black-box models, and how Dataiku helps data teams build models in a way that is collaborative and sustainable for the business.