Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences

27 January 2020

Haiyi Zhu

Papers citing "Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences"

22 / 22 papers shown

Title
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? Tin Nguyen Jiannan Xu Phuong-Anh Nguyen-Le Jonathan Lazar Donald Braman Hal Daumé III Zubin Jelveh 21 0 0 15 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 46 0 0 12 May 2025
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 54 0 0 24 Mar 2025
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Yuefan Cao Xiaoyu Li Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song Jiahao Zhang 100 7 0 02 Feb 2025
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 32 14 0 07 Aug 2023
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study Nicolas Scharowski Michaela Benk S. J. Kühne Léane Wettstein Florian Brühlmann 40 12 0 15 May 2023
"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support A. Bach Trine Munch Norgaard Jens Christian Brok N. V. Berkel 33 33 0 07 Mar 2023
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 20 29 0 01 Jun 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 39 52 0 11 May 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India Divya Ramesh Vaishnav Kameswaran Ding-wen Wang Nithya Sambasivan 30 35 0 11 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 29 34 0 22 Apr 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 21 13 0 12 Apr 2022
Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation Chenyan Jia Alexander Boltz Angie Zhang Anqing Chen Min Kyung Lee 27 33 0 01 Mar 2022
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making Jakob Schoeffer Yvette Machowski Niklas Kuehl FaML 46 14 0 13 Sep 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 34 86 0 28 Jul 2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms Andrés Ferraro Xavier Serra Christine Bauer 27 35 0 04 Jun 2021
Fairness and Transparency in Recommendation: The Users' Perspective Nasim Sonboli Jessie J. Smith Florencia Cabral Berenfus Robin Burke Casey Fiesler FaML 28 65 0 16 Mar 2021
A Study on Fairness and Trust Perceptions in Automated Decision Making Jakob Schoeffer Yvette Machowski Niklas Kuehl 25 16 0 08 Mar 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 31 38 0 02 May 2020
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 195 742 0 13 Dec 2018