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The Importance of Thinking Through These Trade-Offs
No machine learning exists in a vacuum. How do you think through, in an example like this case, the implications of the prediction itself? And so that is a lot of my focus n my research. But we can never, never, ever forget that it comes from the other side of what happens after the model comes out. There's been interesting work about how doctors interact with machine learning.