From National Security to Domestic Monitoring: AI Surveillance Policies and their Implications for U.S. Democracy

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Artificial intelligence (AI) has transformed the scope and pace of government surveillance in the United States (U.S.). Initially framed on national security grounds, AI surveillance tools in the U.S. are increasingly seeping into routine domestic monitoring, prompting constitutional and democratic dilemmas. This study explores the trajectory of AI surveillance policies in the U.S. and assesses their broader democratic implications. It proceeds to examine the lack of a comprehensive federal legislation on AI surveillance and its reliance on executive directives and fragmented state-level regulation. The paper demonstrates that the increased use of facial recognition systems, predictive policing, automated camera networks, and social media monitoring poses systematic risks to democratic norms. Through contemporary case studies, the study deduces that unregulated AI surveillance in the U.S. is not only chilling democratic right to express and assemble, but also producing racial inequalities and autocratic tendencies. The analysis infers that the democratic sustainability of U.S. is hinging on a surveillance governance that is grounded in transparency mandates, public engagement, procedural safety measures, and legislative clarity.

Links and sources

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