引导式测验 · 中等 等级

执法和警务中的人工智能测验

审查警务人工智能的使用和限制，包括面部匹配阈值、逮捕数据的反馈、枪击警报和官方法律分类。

相关引导路径人工智能在执法和警务中的应用
问题 1 的 8

What did NIST face-recognition evaluations report about demographic error-rate differences?

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  1. What did NIST face-recognition evaluations report about demographic error-rate differences?
    • Most tested algorithms showed demographic differentials, with size depending on algorithm and application
    • All tested algorithms had identical error rates for every demographic group
    • The study found demographic differences only in license-plate readers
    • NIST concluded that image quality never affects error rates
  2. 为什么批评者说预测性警务会放大偏见？
    • 它根本不使用任何数据
    • 它从反映过去过度警务的逮捕数据中学习
    • 它只能预测天气
    • 它完全忽略了位置
  3. 面部识别系统根据面部图像创建什么？
    • 纸质素描
    • 指纹
    • 数字嵌入或“面纹”
    • DNA序列
  4. ShotSpotter 是哪种类型的系统的示例？
    • 车牌读取器
    • 人脸识别
    • DNA分析
    • 声学枪声检测
  5. 自动车牌读取器主要：
    • 大规模记录车辆位置
    • 翻译外语
    • 测量空气质量
    • 签发护照
  6. 欧盟人工智能法案如何对待许多执法人工智能用途？
    • 由于不受监管
    • 作为高风险或禁止的
    • 作为所有警察的强制要求
    • 作为娱乐软件
  7. In a face-recognition system, what can changing the match-similarity threshold trade off?
    • Image resolution against video length
    • Database size against audio quality
    • False matches against missed matches
    • Encryption strength against network speed
  8. What can AI transcription add to a body-worn-camera reporting workflow?
    • A determination of guilt without a court
    • A facial-recognition match from audio alone
    • An automatic guarantee that a report is accurate
    • A searchable transcript or draft narrative based on recorded audio