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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Detalles Bibliográficos

Autor principal:	Zottola, Samantha A. (Autor)
Otros Autores:	Desmarais, Sarah L. ; Lowder, Evan Marie ; Duhart Clarke, Sarah E.
Tipo de documento:	Electrónico Artículo
Lenguaje:	Inglés
Publicado:	2022
En:	Criminal justice and behavior Año: 2022, Volumen: 49, Número: 3, Páginas: 389-410
Acceso en línea:	Volltext (lizenzpflichtig)
Journals Online & Print:	Gargar...
Verificar disponibilidad:	HBZ Gateway
Palabras clave:	Federal Pretrial Risk Assessment Virginia Pretrial Risk Assessment Instrument Public Safety Assessment Algorithmic fairness Bias Pretrial Risk Assessment