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The limits of human predictions of recidivism

Dressel and Farid recently found that laypeople were as accurate as statistical algorithms in predicting whether a defendant would reoffend, casting doubt on the value of risk assessment tools in the criminal justice system. We report the results of a replication and extension of Dressel and Farid’s...

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Detalles Bibliográficos
Autores principales: Lin, Zhiyuan “Jerry”, Jung, Jongbin, Goel, Sharad, Skeem, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021503/
https://www.ncbi.nlm.nih.gov/pubmed/32110737
http://dx.doi.org/10.1126/sciadv.aaz0652