Stanford is trying to understand the ways in which these models, what it means for kind of models to interact with humans. Should we be building our models differently if we know that humans are going to be in the picture as opposed to full automation? And that's kind of an interesting thing because maybe in some cases, the model, you want a model not to just be accurate, but you want it to be more interpretable or more reliable or kind of understandable.

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