Abigail See

Abigail See, a recently graduated PhD student from Stanford's NLP group and former head TA, shares her unique insights on teaching AI. She discusses the joys and hurdles of education in a rapidly changing field, emphasizing the importance of empathy and adaptability. Abigail highlights the struggle to keep students engaged in large classes while nurturing their love for learning amidst grade pressures. The episode also touches on the challenges of balancing research with teaching and the disparities in resources that affect students' opportunities in AI.

Abigail See and Ashwin Paranjape, PhD students at Stanford AI Lab, share insights on their award-winning chatbot, Chirpy Cardinal, which secured second place in the Alexa Prize Challenge. They discuss the importance of rapid development and user feedback in creating engaging conversational AI. The duo explores the mixed initiative approach used in Chirpy Cardinal, enhancing its ability to generate empathetic responses while navigating complex social topics. They also touch on future innovations in AI and the role of open-source resources in advancing conversational interfaces.