Worker representation inside algorithmic management systems for low-income communities
open
United States, North America
WS05163
Automated scheduling, evaluation, pricing, and dismissal may shape work without a visible manager. The unresolved problem is giving workers collective voice over systems that are proprietary, dynamic, and difficult to audit. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.