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犯罪控制中的算法预测

Algorithmic prediction in crime control
课程网址: https://videolectures.net/videos/lawandethics2017_zavrsnik_algori...  
主讲教师: Aleš Završnik
开课单位: 大数据2017-卢布尔雅那
开课时间: 2017-07-24
课程语种: 英语
中文简介:
本文将介绍大数据在刑事司法系统中的几种现有用途,例如,通过略读防止支付卡欺诈;用于使用预测软件预测犯罪;使用算法预测假释犯的累犯率。这些知识建立在大量看似无关的数据之上,其可信度基于复杂的数学算法,可能会使增加的社会控制合法化,限制隐私,并成为刑事诉讼基本原则的基础。考虑到算法服务的好处,本文将声称,我们的社会必须在使用大数据的好处和它可能对社会造成的干扰影响(例如通过数据钓鱼滥用、个人数据丢失和被盗等)之间找到平衡。它将揭示执法和刑事司法机构使用的大数据预测的信任陷阱,以及大数据在侵犯基本自由方面带来的风险
课程简介: The paper will present several existent uses of big data in the criminal justice system, for example, for the prevention of payment card fraud by means of skimming; for the prediction of crime with predictive software; the use of algorithms to predict the recidivism of parolees. Such knowledge, built on a large amount of seemingly unrelated data, whose credibility is based on complex mathematical algorithms, may legitimise increased social control, limit privacy and undermine the basic principles of criminal procedure. Taking into consideration the benefits of algorithmic service, the paper will claim that our society will have to find a balance between the benefits of using big data and the disturbing effects it may pose for society (e.g. abuse through data fishing, loss and theft of personal data, etc.). It will present the pitfalls of reliance on big datapredictions used by law enforcement and criminal justice agencies and the risks big data carries as regards encroachment on fundamental liberties
关 键 词: 犯罪控制; 算法预测; 大数据预测
课程来源: 视频讲座网
数据采集: 2024-12-26:liyq
最后编审: 2024-12-26:liyq
阅读次数: 21