Suspicion machines ⚙️ (Practical AI #248)
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Suspicion Machines in Welfare Systems
This chapter discusses the concept of suspicion machines, which are machine learning systems deployed in welfare systems that generate suspicion of certain groups in need of welfare benefits. It explores a specific case in the Netherlands where thousands of families were falsely accused of welfare fraud due to a deployed machine learning model. The chapter also delves into the challenges of identifying and obtaining information about these models, as well as the deployment of predictive analytics in European welfare systems.
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