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machine learning models are often a blackbox which is difficult for statisticians to explain but is this lack of explainability a necessary feature or is it holding us back from creating models that we really need to discuss more weamp;#39;re joined Now by Cynthia Ruden Cynthia itamp;#39;s so nice to meet you thanks for talking with us itamp;#39;s great to be at JSM why are blackbox machine learning models a problem and how is this most apparent in fields like health care and criminal justice yeah people really want to use like these very complicated machine learning models for for really high stakes decisions and itamp;#39;s you know itamp;#39;s often not a good idea um so for um decisions like like criminal justice decisions that determine peopleamp;#39;s freedom and and Loan decisions that determine whether people can buy a home or something like that we really should be using simple models that people can understand um so that theyamp;#39;re much easier to troubleshoot they
