@melindagates makes the point that AI, if trained with non-diverse data, will be racist, or at least biased. Ya know, same as people.pic.twitter.com/Dpu4lZwHbt
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I suspect it's easier to remove some of the bias from data sets than from people
using data from many sources helps (some). Consider many points of view
ML isn't quite the same as human analysis; you're reducing to labelled training set
you can't balance one set of biases against another; you'll just get multiple models
this is big statistical models, not considered human judgement
using one source to model bias in another data source would be interesting; anyone doing?
how would that work? Couldn't you only tell relative bias?
exactly; debias one corpus manually then use to model the others to see comparison
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