Week 9 assignment: analysis of privacy, surveillance, and emerging AI technologies

Required readings on privacy, surveillance, and generative AI

Examining remote surveillance software, computer vision anomalies, civil liberties violations, and the Fourth Amendment room-scan ruling.

Examining PredPol (Geolitica), historical arrest feedback loops, and mathematical distortions in urban crime prediction.

Examining acoustic gunshot detection, public sensor fusion arrays, ShotSpotter inaccuracies, and the creation of municipal surveillance stacks.

Examining Flock Safety and Vigilant Solutions networks, vehicle dragnets, mass municipal surveillance, and tracking vectors in post-Roe legal landscapes.

Examining Amazon’s ADAPT system, Time-Off-Task (TOT) algorithmic metrics, biometric warehouse surveillance, and structural repetitive strain injuries.

Examining Uber and DoorDash optimization models, asymmetrical tracking vectors, automated deactivation, and labor externalization.