Privacy in AI-enabled Neighborhood Apps

Develop a framework to evaluate privacy, consent, data governance, and civil liberty considerations in city-scale or neighborhood AI-enabled services that collect video, location, or biometric data. Propose design principles for transparent data use, robust opt-out controls, data minimization, and accountability mechanisms. Include practical metrics and governance models for collaboration between local authorities and private providers, with clear pathways for redress and auditability.