Stop explaining black box machine learning models for high stakes decisions and..... - Cynthia Rudin

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2022 Program for Women and Mathematics: The Mathematics of Machine Learning

Topic: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Speaker: Cynthia Rudin
Affiliation: Duke University
Date: May 24, 2022

With widespread use of machine learning, there have been serious societal consequences from using black box models for high-stakes decisions. Explanations for black box models are not reliable, and can be misleading. If we use interpretable machine learning models, they come with their own explanations, which are faithful to what the model actually computes. I will discuss examples related to seizure prediction in ICU patients and digital mammography.

Rudin-2022-05-24-II

Institute for Advanced Study

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