Vinod shares how his work at Stanford heightened his awareness of social disparities and their implications in machine learning. He discusses the critical intersection of fairness and bias in AI models, emphasizing the need to understand how these disparities are captured in data. His journey led him to Google, where he continues to explore these important issues in depth.
