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Yes! That is what is scary as fuck with these "magic classification" techniques. The more reliable they are, the more people dismiss false positives. This, appl
by d--b 10y ago
Yes! That is what is scary as fuck with these "magic classification" techniques. The more reliable they are, the more people dismiss false positives. This, applied to criminality is totally 1984.
- koube 10y agoFor those that don't know, "this applied to criminality" already exists and has some problems. Propublica wrote a story criticizing it's use: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing https://www.propublica.org/article/machine-bias-risk-assessm... The company responded with a rebuttal: https://www.documentcloud.org/documents/2998391-ProPublica-Commentary-Final-070616.html https://www.documentcloud.org/documents/2998391-ProPublica-C... And Propublica has a counter-rebuttal: https://www.propublica.org/article/propublica-responds-to-companys-critique-of-machine-bias-story https://www.propublica.org/article/propublica-responds-to-co...
- aub3bhat 10y agoPropublica has an "interesting" definition of "fairness". It turns out there is a beautiful mathematical result that shows that the different definitions of "fairness" are inherently incompatible with each other and cannot be satisfied at the same time. This is the best article that summarizes the controversy on this subject: https://www.washingtonpost.com/news/monkey-cage/wp/2016/10/17/can-an-algorithm-be-racist-our-analysis-is-more-cautious-than-propublicas/ https://www.washingtonpost.com/news/monkey-cage/wp/2016/10/1... Paper by Jon Kleinberg and Sendhil M. and Manish Raghavan on this topic https://arxiv.org/abs/1609.05807 https://arxiv.org/abs/1609.05807
- thwee 10y agoWhat happens where these kinds of models are the reason for suicidal thoughts or criminality?