My research focuses on building algorithms that provide explanations for decisions emanating from deep networks in order to — understand/interpret why the model did what it did, diagnose network failures, help users build appropriate trust, enable knowledge transfer between humans and AI, encourage human-like reasoning in AI, and learn grounded representations, correct unwanted biases learned by AI models.