Soliciting Stakeholders' Fairness Notions in Child Maltreatment
Predictive Systems

Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems

1 February 2021

Logan Stapleton

Paige E Bullock

Alexandra Chouldechova

Zhiwei Steven Wu

Haiyi Zhu

Papers citing "Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems"

11 / 11 papers shown

Title
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 37 0 0 12 May 2025
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 35 0 0 16 Jul 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
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 37 9 0 06 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 4 29 0 01 Jun 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 38 55 0 18 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 28 106 0 05 Apr 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 16 16 0 11 Mar 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016