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Bias and Discrimination 2 Privacy Match each of the options above to the items below. 3 Surveillance 4 Human Judgment The goal of machine learning practitioners is to design models that garner ideas and insights from data sets without revealing specific or sensitive data found within the data set. Countries across the globe have installed millions of cameras to actively monitor public spaces. This rapid deployment of monitoring systems is concerning to many civil rights activists. Bias and discrimination in Al can be intentional or unintentional. The goal is to minimize the occurrence of bias in Al systems but, as most experts agree, it is almost impossible to remove 100% of bias. Do humans need to be involved in Al training and for Al systems to optimally run? Should this be a concern? >

Match each of the options above to the items below. The goal of machine learning practitioners is to design models that garner ideas and insights from data sets without revealing specific or sensitive data found within the data set. Countries across the globe have installed millions of cameras to actively monitor public spaces. This rapid deployment of monitoring systems is concerning to many civil rights activists. Bias and discrimination in Al can be intentional or unintentional. The goal is to minimize the occurrence of bias in Al systems but, as most experts agree, it is almost impossible to remove 100% of bias

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