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Comment on Teaching yourself about structural racism will improve your machine learningparent

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If you don't feed race in as a feature, however, the outputs are hardly racist.

Isn't the argument being made in various different place that race is there in the data regardless of whether or not you encode it as a feature because the humans that create the data already used race as part of creating the data for the model. And by creating the data, I mean the interactions in real life that create the inputs.

You can't escape it because it's already in the inputs to the model because it's a rather insidious part of our society.

People seem to be trying to answer the practical question "How do we build a non-racist model?" the answer to whi h depends entirely on the philosophical question "what does it mean for a model to be racist?" the answer to which no one can seem to agree on.

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