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What kind of knowledge is necessary to be able to evaluate the validity…
What kind of knowledge is necessary to be able to evaluate the validity and neutrality of risk assessment algorithms?
Claim
Knowledge of biases and what factors will place prejudice into risk assessment algorithms as well as data regarding their successful predictions is necessary to evaluate their validity
RLS
ProPublica's analysis of Northpointe, finding that about 45% of African Americans deemed "high risk" never reoffended and about 50% of white americans deemed "low risk" did reoffend
Because risk assessments do not have to release their formula's it is impossible to evaluate the validity of them
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Counterclaim
Risk assessments do not ask for race and so any racial 'bias' one might find is simply a coincidence.
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Assumption that the only way to place racial bias into an algorithm is through explicitly asking the participants race
The different analysis gets different results so how can one identify the "right" way to conduct an analysis?
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Assumption that there is a "right" way rather than valuing all analysis and drawing a conclusion considering all sides and analysis