Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

5 April 2022

Haiyi Zhu

Kenneth Holstein

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Papers citing "Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support"

39 / 39 papers shown

Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 71 0 0 25 Feb 2025
Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers Jose A. Guridi Cristobal Cheyre Qian Yang 34 1 0 30 Oct 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships John Dorsch Maximilian Moll 30 2 0 23 Sep 2024
Practically implementing an LLM-supported collaborative vulnerability remediation process: a team-based approach Xiaoqing Wang Yuanjing Tian Keman Huang Bin Liang 34 1 0 21 Sep 2024
Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process Z. Zhang Sebastian S. Feger Lucas Dullenkopf Rulu Liao Lukas Süsslin Yuanting Liu Andreas Butz 44 4 0 13 Jun 2024
Public Technologies Transforming Work of the Public and the Public Sector Seyun Kim Bonnie Fan Willa Yunqi Yang Jessie Ramey Sarah E Fox Haiyi Zhu John Zimmerman Motahhare Eslami 21 2 0 28 May 2024
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 46 8 0 21 May 2024
Reimagining AI in Social Work: Practitioner Perspectives on Incorporating Technology in their Practice Katie Wassal Carolyn Ashurst Jiri Hron Miri Zilka 138 2 0 30 Apr 2024
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court Angela Jin Niloufar Salehi ELM 34 2 0 13 Mar 2024
DISCERN: Designing Decision Support Interfaces to Investigate the Complexities of Workplace Social Decision-Making With Line Managers Pranav Khadpe Lindy Le Kate Nowak Shamsi T. Iqbal Jina Suh 32 7 0 29 Feb 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals Anna Kawakami Amanda Coston Haiyi Zhu Hoda Heidari Kenneth Holstein 36 23 0 29 Feb 2024
Beyond Predictive Algorithms in Child Welfare Erin Moon Devansh Saxena Tegan Maharaj Shion Guha 38 2 0 26 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit Nur Yildirim Susanna Zlotnikov Deniz Sayar Jeremy M. Kahn L. Bukowski ... Venkatesh Sivaraman Adam Perer Sarah Preum James McCann John Zimmerman 37 14 0 21 Feb 2024
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing Md. Romael Haque Devansh Saxena Katherine Weathington Joseph Chudzik Shion Guha 33 9 0 08 Feb 2024
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems Kimi Wenzel Geoff F. Kaufman Laura A. Dabbish FaML 19 0 0 19 Dec 2023
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning Gaurab Pokharel Sanmay Das P. Fowler CML 15 3 0 17 Dec 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding Hussein Mozannar Jimin J Lee Dennis L. Wei P. Sattigeri Subhro Das David Sontag 41 11 0 02 Nov 2023
Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model Ziqi Yang Xuhai Xu Bingsheng Yao Shao Zhang Ethan Rogers Stephen Intille N. Shara G. Gao Dakuo Wang LM&MA AI4MH 29 4 0 17 Sep 2023
Know What Not To Know: Users' Perception of Abstaining Classifiers A. Papenmeier Daniel Hienert Yvonne Kammerer C. Seifert Dagmar Kern HAI 24 1 0 11 Sep 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge Anna Kawakami Luke M. Guerdan Yanghuidi Cheng Matthew L. Lee Scott A. Carter Nikos Arechiga Kate Glazko Haiyi Zhu Kenneth Holstein 30 11 0 30 Aug 2023
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making Devansh Saxena Shion Guha 22 19 0 09 Aug 2023
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making Min Hun Lee Chong Jun Chew 25 28 0 08 Aug 2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design Anna Kawakami Amanda Coston Haiyi Zhu Hoda Heidari Kenneth Holstein 26 1 0 26 Mar 2023
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 26 59 0 17 Mar 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 26 15 0 22 Feb 2023
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making Chengbo Zheng Yuheng Wu Chuhan Shi Shuai Ma Jiehui Luo Xiaojuan Ma 27 26 0 17 Feb 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare Devansh Saxena Erin Moon Aryan Chaurasia Yixin Guan Shion Guha 27 26 0 16 Feb 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 27 26 0 13 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 32 81 0 31 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 38 104 0 18 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 35 34 0 06 Jan 2023
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 24 10 0 11 Dec 2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables Kenneth Holstein Maria De-Arteaga Lakshmi Tumati Yanghuidi Cheng 28 23 0 28 Jul 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms Amanda Coston Anna Kawakami Haiyi Zhu Kenneth Holstein Hoda Heidari 42 34 0 30 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 43 55 0 18 May 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 38 9 0 22 Apr 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 11 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 56 106 0 07 Mar 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017