April 21, 2023
Kathleen R. McKeown, Columbia University
Addressing Large Language Models that Lie: Case Studies in Summarization
April 15, 2022
Adam Smith, Boston University
When is Memorization Necessary for Machine Learning?
April 8, 2022
Cynthia Rudin, Duke University
Scoring Systems: At the Extreme of Interpretable Machine Learning
November 17, 2021
Kai-Fu Lee
AI and Our Future: A Conversation with Kai-Fu Lee
May 7, 2021
Thorsten Joachims, Cornell University
Fair Recommendations with Biased Data
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Jenn Wortman Vaughan, Microsoft Research
Intelligibility Throughout the Machine Learning Life Cycle
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February 28, 2020
Dan Roth, University of Pennsylvania
It's Time for Reasoning
January 16, 2020
Raymond J. Mooney, The University of Texas at Austin
Robots that Learn Grounded Language through Interactive Dialog