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A comment on Discrimination in the Age of Algorithms. Parent comment

Re:Discrimination in the Age of Algorithms by raverbashing on Saturday March 02, 2019 @06:36PM (#19291803)
There usually isn't unbiased data (think: law enforcement databases), though you could maybe remove the variables more likely to be discriminated against and train on that

There are statistical analysis that can answer your second question, and it's not only based on disparate results (though that's probably part of it). And the solution is not "changing the signal" of the bias

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Re:Discrimination in the Age of Algorithms by danieltillett on Saturday March 02, 2019 @07:55PM (#19292084)
If there are statistical analysis that can answer if the data is biased why isn't the focus of attention all biases rather than just biases that may result in racial discrimination?

Shouldn't all the arguments be over the data and any biases present (and how to obtain unbiased data) and not the result?

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