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They are measured while it remains hidden which data points are incorporated or overridden, and how

They are measured while it remains hidden which data points are incorporated or overridden, and how This raises a scenario that requests critical representation. “If a person had a few good Caucasian matches in the last, the algorithm is more prone to recommend Caucasian people as ‘good matches’ in the future”.. this can be harmful, because of it reinforces societal norms: “If previous users made discriminatory choices, the algorithm will stay on a single, biased...

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