计算机视觉研究权力监控技术
Pratyusha Ria Kalluri1, William Agnew2, Myra Cheng3
1Computer Science Department, Stanford University, Stanford, CA, USA. pkalluri@stanford.edu.
Nature
|June 25, 2025
概括
计算机视觉研究显著推动了大规模监控系统的发展,自上世纪90年代以来,相关专利数量增加了五倍. 这一领域越来越常规化了对人类的准,
科学领域:
- 计算机科学
- 人工智能
- 监测研究
背景情况:
- 人们越来越担心人工智能 (AI),特别是计算机视觉,与大规模监控技术的发展有关.
- 计算机视觉研究与监控中的应用之间的确切关系仍在争论中.
研究的目的:
- 实证地调查监控人工智能管道的性质和范围.
- 提供计算机视觉研究与监控应用之间的密切联系的证据.
- 在计算机视野中分析人类定位的正常化.
主要方法:
- 分析计算机视觉研究论文及其引用专利.
- 从1990年代到2010年代的研究与专利联系的量化比较.
- 检查研究文档中使用的语言,以确定模糊的模式.
主要成果:
- 大多数分析的计算机视觉文档都能更容易地针对人体和人体部位.
- 在1990年代到2010年代间,与监控专利相关的计算机视觉论文增加了五倍.
- 这项研究发现,在该领域内,人类的目标被普遍规范化,通常被人们称为"物体"的委语言所掩盖.
结论:
- 计算机视觉研究与监控技术的开发和部署密切相关.
- 人类定位的规范化,通常被特定的语言所掩盖,是计算机视觉研究社区中普遍存在的问题.
- 调查结果挑战了监控仅由少数参与者驱动的想法,强调了该领域的系统整合.
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