日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

Predictive Justice in the United States of America

MPS-Authors
/persons/resource/persons212338

Silverman,  Emily
Criminal Law, Max Planck Institute for the Study of Crime, Security and Law, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)
公開されているフルテキストはありません
付随資料 (公開)
There is no public supplementary material available
引用

Silverman, E. (2023). Predictive Justice in the United States of America. Revue Internationale de Droit Pénal, 94(2), 211-252.


引用: https://hdl.handle.net/21.11116/0000-000E-68EA-6
要旨
Rapid growth in the use of increasingly sophisticated risk assessment tools in criminal justice systems across the United States is due in part to reform efforts undertaken to reduce the country’s extremely high incarceration rates. Other potential advantages of harnessing these tools, some of which already employ AI-based technology, include decreasing the disparities caused by the cash-bail system and providing outcomes at various stages of the criminal process that are fairer and less punitive than those produced by unfettered human decision-makers. Existing studies have not yet shown conclusively that these goals have – or have not – been achieved. In addition, use of AI-based tools implicates fundamental tenets of criminal procedure. As these tools become more prevalent, it remains to be seen how and whether courts and legislators will step up to protect these hard-won principles.