US law proposes integration of AI into border control

The proposed plan includes metrics, performance indicators, and privacy/security assessments to ensure effective implementation.

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A bipartisan proposal in the US aims to bolster border control by integrating cutting-edge technologies such as AI, machine learning, biometrics, and nanotechnology. Spearheaded by the Department of Homeland Security (DHS), the legislation mandates developing a comprehensive plan within 180 days to incorporate these technologies into border security operations. The move follows the release of an AI Roadmap for DHS and an executive order emphasising trustworthy AI for American benefit.

Representative Lou Correa highlighted the importance of investing in security-enhancing technologies to aid Customs and Border Protection (CBP) officers in swiftly responding to threats like human trafficking and hazardous migrant crossings. The proposed plan includes metrics, performance indicators, and privacy/security assessments to ensure effective implementation.

As cartels and foreign adversaries increase in sophistication amid the ongoing border crisis, the necessity to deploy advanced technologies becomes apparent. The legislation seeks to leverage commercially available technologies while empowering CBP Innovation Teams to adapt and integrate them into border security operations efficiently.

The bill also mandates that the CBP clarify operational procedures and roles regarding new technologies. Research areas outlined in the legislation encompass mobile surveillance vehicles, lighter-than-air ground surveillance equipment, tunnel detection, and other pertinent areas determined by the Secretary of Homeland Security. Through bipartisan efforts, the proposal aims to equip officers with the tools necessary to safeguard the border effectively.