预测警务中的失控反馈回路Runaway Feedback Loops in Predictive Policing |
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课程网址: | http://videolectures.net/kdd2017_friedler_predictive_policing/ |
主讲教师: | Sorelle A. Friedler |
开课单位: | 哈弗福特学院 |
开课时间: | 2017-12-01 |
课程语种: | 英语 |
中文简介: | 哈弗福德学院预测性警务系统越来越多地被用来确定如何在整个城市分配警察,以最好地预防犯罪。观察到的犯罪数据(逮捕人数)用于更新模型,并重复该过程。这类系统已被证明容易受到失控的反馈回路的影响,无论真实犯罪率如何,警察都会被反复送回同一个社区。作为回应,我们开发了一个预测性警务模型,该模型显示了为什么会出现这种反馈回路,从经验上表明了该模型表现出了这样的问题,并演示了如何改变预测性警务系统的输入(以黑箱方式),使失控的反馈回路不会发生,从而可以了解真实的犯罪率。 |
课程简介: | Predictive policing systems are increasingly used to determine how to allocate police across a city in order to best prevent crime. Observed crime data (arrest counts) are used to update the model, and the process is repeated. Such systems have been shown susceptible to runaway feedback loops, where police are repeatedly sent back to the same neighborhoods regardless of the true crime rate. In response, we develop a model of predictive policing that shows why this feedback loop occurs, show empirically that this model exhibits such problems, and demonstrate how to change the inputs to a predictive policing system (in a black-box manner) so the runaway feedback loop does not occur, allowing the true crime rate to be learned. |
关 键 词: | 预防犯罪; 警务系统; 反馈回路; 优化模型 |
课程来源: | 视频讲座网 |
数据采集: | 2023-05-24:chenxin01 |
最后编审: | 2023-05-24:chenxin01 |
阅读次数: | 35 |