Evaluating Fairness of Algorithmic Risk Assessment Instruments: The Problem With Forcing Dichotomies

Researchers and stakeholders have developed many definitions to evaluate whether algorithmic pretrial risk assessment instruments are fair in terms of their error and accuracy. Error and accuracy are often operationalized using three sets of indicators: false-positive and false-negative percentages,...

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Bibliographic Details
Main Author: Zottola, Samantha A. (Author)
Contributors: Desmarais, Sarah L. ; Lowder, Evan Marie ; Duhart Clarke, Sarah E.
Format: Electronic Article
Language:English
Published: 2022
In: Criminal justice and behavior
Year: 2022, Volume: 49, Issue: 3, Pages: 389-410
Online Access: Volltext (lizenzpflichtig)
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Keywords:
Federal Pretrial Risk Assessment
Virginia Pretrial Risk Assessment Instrument
Public Safety Assessment
Algorithmic fairness
Bias
Pretrial
Risk Assessment