Mobility data privacy in AI is a defining challenge of our era, even as movement signals power smarter cities, safer transportation networks, and timely public health insights, enabling proactive traffic management, disaster response coordination, and resilience planning, and it requires privacy-by-design principles, ongoing risk assessment, and collaboration among engineers, policymakers, and communities.From traffic forecasting to emergency response, the value of location data comes with a responsibility to protect individuals’ rights, minimize exposure, respect autonomy, and ensure that benefits are distributed fairly across communities and across all stakeholders who contribute data, from municipal agencies to private partners.