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

11 March 2022

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

5 / 5 papers shown

Title
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 48 7 0 20 Jan 2024
Designing Human-Centered Algorithms for the Public Sector: A Case Study of the U.S. Child-Welfare System Devansh Saxena 24 2 0 11 Dec 2022
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 51 55 0 18 May 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 19 13 0 12 Apr 2022
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 64 106 0 07 Mar 2020