Personalized Risk Assessments in the Criminal Justice System
研究了纽约市拦截盘查项目，提出个性化风险评估工具可帮助警察实时做出更优拦截决策，并审计过往行动，发现大量拦截可能缺乏证据、违宪。
In an effort to bring greater efficiency, equity, and transparency to the criminal justice system, statistical risk assessment tools are increasingly used to inform bail, sentencing, and parole decisions. We examine New York City's stop-and-frisk program, and propose two new use cases for personalized risk assessments. First, we show that risk assessment tools can help police officers make considerably better real-time stop decisions. Second, we show that such tools can help audit past actions; in particular, we argue that a sizable fraction of police stops were conducted on the basis of little evidence, in possible violation of constitutional protections.