Why Detecting Distributional Shift is So Hard and So Important

Explore the challenges and significance of detecting data distributional shift in this 27-minute conference talk presented by Sharon Li, assistant professor at the University of Wisconsin-Madison, at Snorkel AI's The Future of Data-Centric AI Summit in 2022. Delve into the complexities of identifying changes in data distributions and understand why this task is crucial yet difficult in the field of artificial intelligence. Gain insights into potential opportunities and advancements in addressing this critical issue. Access additional related content through provided playlists to further expand your knowledge on data distribution shift, Snorkel AI, and data-centric AI approaches.