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How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

8 November 2018

Papers citing "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness"

50 / 55 papers shown

Title
Fairness in Federated Learning: Fairness for Whom? Afaf Taik Khaoula Chehbouni G. Farnadi FedML 39 0 0 27 May 2025
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics Tin Trung Nguyen Jiannan Xu Zora Che Phuong-Anh Nguyen-Le Rushil Dandamudi Donald Braman Furong Huang Hal Daumé III Zubin Jelveh 68 0 0 25 May 2025
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? Tin Trung Nguyen Jiannan Xu Phuong-Anh Nguyen-Le Jonathan Lazar Donald Braman Hal Daumé III Zubin Jelveh 46 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 85 0 0 12 May 2025
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 51 0 0 08 Oct 2024
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist Meric Altug Gemalmaz Ming Yin 128 0 0 04 Oct 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 54 1 0 18 Sep 2024
Dynamic Fairness Perceptions in Human-Robot Interaction Houston Claure Kate Candon Inyoung Shin Nathan Tsoi 67 1 0 11 Sep 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 110 1 0 16 Jul 2024
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction Micol Spitale Jiaee Cheong Hatice Gunes 47 4 0 12 Jun 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 76 1 0 12 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 82 9 0 26 Mar 2024
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 39 2 0 05 Nov 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 93 2 0 23 Aug 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 132 5 0 11 Aug 2023
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems Catholijn M. Jonker Luciano Cavalcante Siebert P. Murukannaiah 20 1 0 12 Jul 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation Bjørnar Vassøy H. Langseth FaML 56 6 0 16 May 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 53 0 0 07 Apr 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 74 18 0 01 Mar 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 50 1 0 22 Feb 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Helen Zhou 102 4 0 31 Jan 2023
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 60 3 0 14 Dec 2022
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 117 101 0 09 Dec 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 96 6 0 21 Sep 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 79 7 0 22 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
How Different Groups Prioritize Ethical Values for Responsible AI Maurice Jakesch Zana Buçinca Saleema Amershi Alexandra Olteanu 70 101 0 16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 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 72 59 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 58 32 0 22 Apr 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 50 0 0 16 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 84 38 0 06 Feb 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 37 6 0 13 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 78 21 0 29 Dec 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 38 0 0 29 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning Neehar Peri Michael J. Curry Samuel Dooley John P. Dickerson 77 31 0 06 Jun 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 87 84 0 29 Apr 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 68 153 0 22 Mar 2021
Responsible AI: Gender bias assessment in emotion recognition Artem Domnich G. Anbarjafari 142 50 0 21 Mar 2021
Fairness and Transparency in Recommendation: The Users' Perspective Nasim Sonboli Jessie J. Smith Florencia Cabral Berenfus Robin Burke Casey Fiesler FaML 67 69 0 16 Mar 2021
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness Georg Ahnert Ivan Smirnov Florian Lemmerich Claudia Wagner M. Strohmaier FaML 45 2 0 08 Feb 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
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making Gabriel Lima Nina Grgic-Hlaca M. Cha 41 69 0 01 Feb 2021
Descriptive AI Ethics: Collecting and Understanding the Public Opinion Gabriel Lima M. Cha 28 5 0 15 Jan 2021
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 42 0 0 08 Dec 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 158 60 0 12 Oct 2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion Mukund Telukunta Venkata Sriram Siddhardh Nadendla FaML 18 0 0 09 Sep 2020
Quota-based debiasing can decrease representation of already underrepresented groups Ivan Smirnov Florian Lemmerich Markus Strohmaier 15 1 0 13 Jun 2020
Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi Yuzhong Huang Fred Morstatter FaML 49 10 0 14 May 2020