Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

3 February 2018

Reuben Binns

Papers citing "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making"

50 / 103 papers shown

Title
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 107 48 0 21 Sep 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 90 35 0 30 Jun 2022
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education Gianni Fenu Roberta Galici Mirko Marras 118 17 0 23 Jun 2022
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata A. Heger Elizabeth B. Marquis Mihaela Vorvoreanu Hanna M. Wallach J. W. Vaughan 81 62 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 60 30 0 01 Jun 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 63 62 0 10 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 63 32 0 22 Apr 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 84 13 0 12 Apr 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 85 112 0 05 Apr 2022
Not Another School Resource Map: Meeting Underserved Families' Information Needs Requires Trusting Relationships and Personalized Care Samantha Robertson Tonya Nguyen Niloufar Salehi 26 7 0 29 Mar 2022
Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis Devansh Saxena Erin Moon Dahlia Shehata Shion Guha 50 26 0 10 Mar 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 123 188 0 21 Dec 2021
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 76 0 0 17 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 61 37 0 10 Dec 2021
Proceedings of the CSCW 2021 Workshop -- Investigating and Mitigating Biases in Crowdsourced Data Danula Hettiachchi Mark Sanderson Jorge Goncalves S. Hosio G. Kazai Matthew Lease M. Schaekermann Emine Yilmaz 29 1 0 29 Nov 2021
Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector Erik Jonk Deniz Iren 26 4 0 08 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 58 0 0 13 Sep 2021
A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare Devansh Saxena Karla A. Badillo-Urquiola Pamela J. Wisniewski Shion Guha 96 90 0 07 Jul 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 78 43 0 10 Jun 2021
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors Hong Shen Alicia DeVrio Motahhare Eslami Kenneth Holstein MLAU 96 128 0 06 May 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis Harmanpreet Kaur Hal Daumé Hanna M. Wallach Jennifer Wortman Vaughan FAtt 103 31 0 27 Apr 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? Kenneth Holstein Shayan Doroudi 52 36 0 27 Apr 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 41 1 0 09 Apr 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 66 70 0 01 Feb 2021
Modeling Disclosive Transparency in NLP Application Descriptions Michael Stephen Saxon Sharon Levy Xinyi Wang Alon Albalak Wenjie Wang 67 7 0 02 Jan 2021
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 89 134 0 30 Oct 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 49 5 0 22 Oct 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation Hong Shen Wesley Hanwen Deng Aditi Chattopadhyay Zhiwei Steven Wu Xu Wang Haiyi Zhu 94 65 0 22 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 110 654 0 04 Oct 2020
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation Yubo Kou Xinning Gui 49 40 0 19 Aug 2020
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition Hendrik Heuer Andreas Breiter HAI 47 9 0 05 Aug 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 74 18 0 17 Jul 2020
Towards Integrating Fairness Transparently in Industrial Applications Emily Dodwell Cheryl J. Flynn B. Krishnamurthy S. Majumdar Ritwik Mitra 40 0 0 10 Jun 2020
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking Darren Edge Weiwei Yang Kate Lytvynets Harry Cook Claire Galez-Davis Hannah Darnton Christopher M. White 157 6 0 12 May 2020
Evidence-based explanation to promote fairness in AI systems J. Ferreira Mateus de Souza Monteiro FaML 48 5 0 03 Mar 2020
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda L. Robert Casey S. Pierce Liz Morris Sangmi Kim Rasha Alahmad 53 144 0 20 Feb 2020
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences Ruotong Wang F. M. Harper Haiyi Zhu FaML 66 187 0 27 Jan 2020
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion Malin Eiband Daniel Buschek H. Hussmann 116 28 0 22 Jan 2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems C. E. Smith Bowen Yu Anjali Srivastava Aaron L Halfaker Loren G. Terveen Haiyi Zhu KELM 126 70 0 14 Jan 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 100 316 0 14 Dec 2019
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 54 22 0 08 Nov 2019
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring Andi Peng Besmira Nushi Emre Kıcıman K. Quinn Siddharth Suri Ece Kamar 68 52 0 08 Sep 2019
Experiential AI D. Hemment R. Aylett Vaishak Belle Dave Murray-Rust Ewa Luger J. Hillston Michael Rovatsos F. Broz 49 13 0 06 Aug 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 82 248 0 30 May 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 128 187 0 10 Apr 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 166 30 0 21 Feb 2019
Assessing the Local Interpretability of Machine Learning Models Dylan Slack Sorelle A. Friedler C. Scheidegger Chitradeep Dutta Roy FAtt 60 71 0 09 Feb 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 63 130 0 23 Jan 2019