Governing Continuous Smartphone Sensing: A Privacy-Preserving Path Toward Democratic Homeland Security

This paper examines whether continuous detection-and-reporting should be mandated on smartphones for the purposes of social safety and homeland security. It identifies the single greatest obstacle not in the technology itself—on-device speech recognition and always-listening microphones already exist—but in the absence of a privacy-preserving trust infrastructure. As a promising candidate to fill this gap, the paper proposes the Verifiable Record of AI Output (VRAIO), which concentrates governance on outputs: only those aligned with socially authorized purposes are externally released, non-emergency data are deleted on-device, only confirmed emergencies are reported to authorities, and the entire process is recorded in a tamper-resistant manner for independent third-party auditing. Once such an infrastructure secures genuine privacy protection, a limited and conditional mandate for continuous smartphone-based detection and reporting becomes realistic—contributing decisively to social safety while protecting, rather than exposing, device owners. Imagine a society in which every smartphone carries such a capability as a duty, yet the privacy of its owner is fully preserved. The converse is equally instructive: a society that declines to confront this question seriously is left to suffer the unchecked proliferation of covert microphone exploitation. The question, therefore, is not whether to surveil, but under what stringent output-governance conditions, and in what narrowly defined form of obligation, social acceptance can be achieved.