Examining automated behavioral health apps, the NEDA Tessa chatbot failure, data privacy regulatory gaps, and labor union displacement.

Examining 3D biometric body scans, generative voice synthesis, corporate identity extraction, and Hollywood labor protections.

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

Examining Amazon’s historical recruiting model, natural language feature bias, and automated gender discrimination in employment gates.

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

Examining Sama and Scale AI subcontracting, Kenyan data labelers, low-wage content moderation trauma, and the myth of automation.