Meet Cynthia Rudin—A Champion of Interpretable Machine Learning

CHANCE: Cynthia, thank you for taking the time to connect with CHANCE readers.

Your work in and advocacy of interpretable machine learning make you famous among statisticians. Many of us admire the way you use simple, compelling examples to illustrate why interpretable models are needed and why they are preferable to using a black box model even when “explained” post-hoc. We’d like to know a little about your professional journey.

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