Predictive Enforcement
arxiv(2024)
摘要
We study law enforcement guided by data-informed predictions of "hot spots"
for likely criminal offenses. Such "predictive" enforcement could lead to data
being selectively and disproportionately collected from neighborhoods targeted
for enforcement by the prediction. Predictive enforcement that fails to account
for this endogenous "datafication" may lead to the over-policing of
traditionally high-crime neighborhoods and performs poorly, in particular, in
some cases as poorly as if no data were used. Endogenizing the incentives for
criminal offenses identifies additional deterrence benefits from the
informationally efficient use of data.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要