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HomeMIT 6.S897 Machine Learning for Healthcare, Spring 2019Lecture 23: Fairness
Lecture 23: Fairness
1:17:55
In this lecture, Prof. Szolovits talks about algorithmic fairness and fairness in the way we build machine learning models. He raises the question “What do we mean by fairness in society?” and discusses how that affects prediction models.
Speaker: Peter Szolovits
Lecture 23: Fairness slides (PDF - 1.5MB)