Evaluating the evidence in algorithmic evidence-based decision-making: the case of US pretrial risk assessment tools-Reference-Cited by-同舟云学术

Evaluating the evidence in algorithmic evidence-based decision-making: the case of US pretrial risk assessment tools

Published:2021-01-17 Issue:3 Volume:33 Page:359-381
ISSN:1034-5329
Container-title:Current Issues in Criminal Justice
language:en
Short-container-title:Current Issues in Criminal Justice

Author:

König Pascal D.¹^ORCID,Krafft Tobias D.²^ORCID

Affiliation:

1. Social Sciences, TU Kaiserslautern, Kaiserslautern, Germany

2. Computer Science, TU Kaiserslautern, Kaiserslautern, Germany

Funder

Volkswagen Foundation

Publisher

Informa UK Limited

Subject

Law

Link

https://www.tandfonline.com/doi/pdf/10.1080/10345329.2020.1849932

Reference66 articles.

1. ABA. (2020). The good, bad and ugly of new risk-assessment tech in criminal justice. American Bar Association. Chicago. Retrieved from https://www.americanbar.org/news/abanews/aba-news-archives/2020/02/the-good–bad-and-ugly-of-new-risk-assessment-tech-in-criminal-j/

2. The Meta-Analysis of Clinical Judgment Project: Fifty-Six Years of Accumulated Research on Clinical Versus Statistical Prediction

3. Smart on crime: The new language for prisoner release

4. null

5. Introduction to Statistical Analysis of Laboratory Data

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