Suspicion Machines

Explore the risks and downsides of deployed machine learning systems, specifically focusing on suspicion machines within welfare systems. Learn how these systems assign risk scores to welfare recipients and the potential negative impact on individuals. Discover concrete examples and evidence of punitive measures and false positives caused by suspicion machines.