2022 Program for Women and Mathematics: The Mathematics of Machine Learning
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Abstract: 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.
Date & Time
May 24, 2022 | 4:30pm – 5:30pm
Location
Wolfensohn Hall and Remote AccessSpeakers
Cynthia Rudin
Affiliation
Duke University