Zack Lipton

In this engaging discussion, Zack Lipton, a Professor at CMU with expertise in machine learning, explores key advances from 2019 in the field. He delves into the evolution of deep learning, noting the impact of models like BERT and challenges related to distribution shifts. Lipton also discusses innovative approaches in causal inference and fairness, advocating for continued research on model robustness. Lastly, he shares predictions about commodification in AI and the need for inclusive participation in the future landscape of machine learning.