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Published Jan 27, 2022

Trends in Machine Learning & Deep Learning with Zachary Lipton - #556

Zachary Lipton delves into the intricacies of causal inference in machine learning, examining its role in addressing distribution shifts and ensuring fairness, while also reflecting on AI's evolution from a luxury to an essential commodity and its societal impacts. As an expert, Lipton critiques current fairness research and emphasizes the challenges of achieving equity in dynamic systems.
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