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Please note: This seminar will be given online.

Sepideh Mahabadi
Toyota Technological Institute at Chicago

Searching and summarization are two of the most fundamental tasks in massive data analysis. In this talk, I will focus on these two tasks from the perspective of diversity and fairness.

Please note: This seminar will be given online.

Dallas Card, Postdoctoral scholar
NLP Group and the Data Science Institute, Stanford University

Machine learning and natural language processing have become increasingly influential, both in commercial applications and as key tools for research in the natural and social sciences. In both cases, however, research in these fields raises numerous concerns related to bias, transparency, robustness, and how we communicate information.