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How to Train a (Bad) Algorithmic Caseworker: A Quantitative
  Deconstruction of Risk Assessments in Child-Welfare

How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare

11 March 2022
Devansh Saxena
Charlie Repaci
Melanie Sage
Shion Guha
    CML
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Papers citing "How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare"

2 / 2 papers shown
Title
Imagining new futures beyond predictive systems in child welfare: A
  qualitative study with impacted stakeholders
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Logan Stapleton
Min Hun Lee
Diana Qing
Mary-Frances Wright
Alexandra Chouldechova
Kenneth Holstein
Zhiwei Steven Wu
Haiyi Zhu
38
55
0
18 May 2022
A Human-Centered Review of the Algorithms used within the U.S. Child
  Welfare System
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
Devansh Saxena
Karla A. Badillo-Urquiola
Pamela J. Wisniewski
Shion Guha
54
106
0
07 Mar 2020
1