Wired: Crime Prediction Keeps Society Stuck in the Past

Wired: Crime Prediction Keeps Society Stuck in the Past . “In Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition, digital media scholar Wendy Hui Kyong Chun argues that the most common methods used by technologies such as PredPol and Chicago’s heat list to make predictions do nothing of the sort. Rather than anticipating what might happen out of the myriad and unknowable possibilities on which the very idea of a future depends, machine learning and other AI-based methods of statistical correlation ‘restrict the future to the past.’ In other words, these systems prevent the future in order to ‘predict’ it—they ensure that the future will be just the same as the past was.”

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