When Discrimination Is Baked Into Algorithms: Nikki Aviles

After reading this article, Kirchner explains the legal repercussions as discrimination. Discrimination in a work place, school, against ones gender, race, etc. The information gathered by data mining and algorithms is sensitive, personal information that has nothing to do with making a decision on if someone is job qualified, or the test scores they have. No one should have access to this information.

The laws today do not adequately cover the new phenomenon of “big data” bias because, If someone is able determine a persons credit score, qualifications to be hired, or the length of their prison sentence, all from data mining/algorithms, then we are not being protected enough.  “Even in situations where data miners are extremely careful, they can still affect discriminatory results with models that, quite unintentionally, pick out proxy variables for protected classes.”


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