DHS 推動統一面部指紋搜尋引擎

• Mobile Fortify converts facial images captured in uncontrolled environments into biometric templates using algorithms developed by NEC Corporation of America[3] • The system compares templates against government databases and returns candidate matches exceeding a configurable similarity threshold[3] • Threshold adjustment prioritizes speed and volume over accuracy, increasing false positive rates particularly for images taken outside controlled conditions[3] • Clearview AI contract provides CBP with 15 software licenses for agents in the National Targeting Center's intelligence division, enabling access to 60+ billion publicly available images[1] • FBI's 2025 inventory includes nine 'high-impact' AI use cases embedded in biometric identification workflows, facial recognition, and automated analysis for suspect narrowing and lead prioritization[2] • CBP also deployed NexisXplore for open-source threat research and CBP Link for real-time identity verification alongside facial recognition capabilities[1]

The consolidation of biometric search capabilities across federal agencies represents a significant expansion of surveillance infrastructure with potential for mission creep. The gap between rapid operational deployment and documented safeguards creates governance risks, particularly as agencies approach the April 2026 compliance deadline for high-impact AI systems. Congressional oversight efforts, including proposed limits on DHS mobile biometric applications and the ICE Out of Our Faces Act, indicate growing legislative pushback. The removal of centralized privacy reviews may accelerate deployment but increases vulnerability to accuracy issues and civil liberties challenges. The reliance on third-party vendors like Clearview AI introduces dependency on commercial data sources and raises questions about data retention, accuracy validation, and cross-agency data sharing protocols.