Algorithmic Fairness

21 January 2020

Papers citing "Algorithmic Fairness"

50 / 50 papers shown

Title
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Dynamic Fairness Perceptions in Human-Robot Interaction Houston Claure Kate Candon Inyoung Shin Marynel Vázquez 32 1 0 11 Sep 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 34 1 0 04 Apr 2024
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting Camille Olivia Little Genevera I. Allen 25 0 0 01 Apr 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 27 0 0 23 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 31 3 0 09 Oct 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 24 2 0 05 Jul 2023
Auditing Fairness by Betting Ben Chugg Santiago Cortes-Gomez Bryan Wilder Aaditya Ramdas MLAU 45 7 0 27 May 2023
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models M. Verger Sébastien Lallé F. Bouchet Vanda Luengo 20 11 0 24 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 35 23 0 10 May 2023
Graph Neural Network Surrogates of Fair Graph Filtering Emmanouil Krasanakis Symeon Papadopoulos 32 1 0 14 Mar 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 30 3 0 13 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 38 10 0 03 Feb 2023
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 18 1 0 21 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 40 17 0 30 Oct 2022
Fairness in generative modeling M. Zameshina O. Teytaud F. Teytaud Vlad Hosu N. Carraz Laurent Najman Markus Wagner SyDa 20 2 0 06 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 30 18 0 27 Sep 2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions Arezou Pakzad Kumar Abhishek Ghassan Hamarneh 30 17 0 29 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun 35 6 0 04 Jun 2022
Sex and Gender in the Computer Graphics Research Literature Ana Dodik Silvia Sellán Theodore Kim Amanda Phillips FaML 25 7 0 01 Jun 2022
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition Iris Dominguez-Catena D. Paternain M. Galar 31 12 0 20 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 112 0 21 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 22 36 0 06 Apr 2022
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups Amy A. Winecoff E. A. Watkins 25 17 0 02 Mar 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 20 0 0 16 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 29 4 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 17 16 0 07 Feb 2022
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 16 1 0 03 Dec 2021
CONFAIR: Configurable and Interpretable Algorithmic Fairness Ankit Kulshrestha Ilya Safro FaML 20 2 0 17 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 27 36 0 04 Nov 2021
Fair Incentives for Repeated Engagement Daniel Freund Chamsi Hssaine 11 1 0 28 Oct 2021
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities A. Péry Majid Rafiei Michael Simon Wil M.P. van der Aalst 21 9 0 06 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 26 19 0 05 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 240 0 01 Oct 2021
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 19 7 0 29 Sep 2021
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 58 12 0 17 Sep 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 21 1 0 13 Sep 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 25 47 0 14 May 2021
Finite Continuum-Armed Bandits Solenne Gaucher 16 2 0 23 Oct 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 18 61 0 18 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 119 0 10 Jul 2020
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 16 30 0 18 Sep 2019
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
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 435 0 20 Feb 2013