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English(EN) Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

人工智能框架分析警用执法记录仪视频以获取行为洞察

研究人员开发了一个新的人工智能框架来分析警用执法记录仪视频,旨在识别尊重、不尊重、升级和降级等行为动态。该系统集成了图像、音频和自然语言处理,并利用大型语言模型来总结互动过程。这种方法旨在协助执法部门进行审查、培训和问责流程。 AI

影响 该框架可以通过提供对警民互动的客观分析来增强执法部门的透明度和问责制。

排序理由 该项目是一篇研究论文,详细介绍了一个用于分析特定数据的创新人工智能框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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人工智能框架分析警用执法记录仪视频以获取行为洞察

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该项目是一篇研究论文,详细介绍了一个用于分析特定数据的创新人工智能框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Anita Srbinovska, Angela Srbinovska, Vivek Senthil, Jonathan Bateman, Adrian Martin, John McCluskey, Ernest Fokou\'e ·

    迈向人工智能驱动的警务:从警方执法记录仪视频中进行跨学科知识发现

    arXiv:2504.20007v4 Announce Type: replace-cross Abstract: This paper proposes a novel interdisciplinary framework for analyzing police body-worn camera (BWC) footage from the Rochester Police Department (RPD) using advanced artificial intelligence (AI) and statistical machine lea…