A Framework of High-Stakes Algorithmic Decision-Making for the Public
Sector Developed through a Case Study of Child-Welfare

A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare

7 July 2021

Karla A. Badillo-Urquiola

Pamela J. Wisniewski

Papers citing "A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare"

8 / 8 papers shown

Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 57 0 0 25 Feb 2025
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use Anna Kawakami Amanda Coston Hoda Heidari Kenneth Holstein Haiyi Zhu 44 8 0 21 May 2024
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services Tzu-Sheng Kuo Hong Shen Jisoo Geum N. Jones Jason I. Hong Haiyi Zhu Kenneth Holstein 21 59 0 17 Mar 2023
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 35 54 0 18 May 2022
How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare Devansh Saxena Charlie Repaci Melanie Sage Shion Guha CML 11 16 0 11 Mar 2022
Better Together? An Evaluation of AI-Supported Code Translation Justin D. Weisz Michael J. Muller Steven I. Ross Fernando Martinez Stephanie Houde Mayank Agarwal Kartik Talamadupula John T. Richards 29 67 0 15 Feb 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 54 106 0 07 Mar 2020
Data Vision: Learning to See Through Algorithmic Abstraction Samir Passi S. Jackson 131 111 0 09 Feb 2020