A Survey on Bias and Fairness in Machine Learning

23 August 2019

Papers citing "A Survey on Bias and Fairness in Machine Learning"

50 / 1,613 papers shown

Title
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 28 13 0 27 Jan 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 29 14 0 27 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 128 8 0 26 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 29 12 0 24 Jan 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 30 9 0 24 Jan 2022
Bias in Automated Speaker Recognition Wiebke Toussaint Aaron Yi Ding CVBM 32 44 0 24 Jan 2022
Gender Bias in Text: Labeled Datasets and Lexicons Jad Doughman Wael Khreich 32 8 0 21 Jan 2022
Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs Anna Filighera Sebastian Ochs Tim Steuer Thomas Tregel AAML 17 11 0 20 Jan 2022
A Non-Expert's Introduction to Data Ethics for Mathematicians M. A. Porter FaML 24 3 0 18 Jan 2022
Millions of Co-purchases and Reviews Reveal the Spread of Polarization and Lifestyle Politics across Online Markets Alex Ruch Ari Decter-Frain Raghav Batra 11 2 0 17 Jan 2022
Principled Diverse Counterfactuals in Multilinear Models I. Papantonis Vaishak Belle AAML 22 3 0 17 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 33 9 0 17 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 24 12 0 15 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 22 5 0 13 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 13 16 0 10 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 12 79 0 10 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 39 28 0 10 Jan 2022
Improved Input Reprogramming for GAN Conditioning Tuan Dinh Daewon Seo Zhixu Du Liang Shang Kangwook Lee AI4CE 24 8 0 07 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang Zhi-Li Wu Long Lian Stella X. Yu 36 93 0 05 Jan 2022
Parity-based Cumulative Fairness-aware Boosting Vasileios Iosifidis Arjun Roy Eirini Ntoutsi FaML 12 4 0 04 Jan 2022
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 95 0 24 Dec 2021
Forward Composition Propagation for Explainable Neural Reasoning Isel Grau Gonzalo Nápoles M. Bello Yamisleydi Salgueiro A. Jastrzębska 22 0 0 23 Dec 2021
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 16 26 0 23 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 42 0 0 17 Dec 2021
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 22 739 0 16 Dec 2021
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations A. Biswas G. Verma Justin Otto Barber SyDa 11 1 0 16 Dec 2021
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences A. McGovern I. Ebert‐Uphoff D. Gagne A. Bostrom 21 64 0 15 Dec 2021
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities Eyke Hüllermeier 20 5 0 15 Dec 2021
Can Machine Learning be Moral? M. Sicart Irina Shklovski Mirabelle Jones FaML 14 1 0 13 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 326 0 13 Dec 2021
Efficient Device Scheduling with Multi-Job Federated Learning Chen Zhou Ji Liu Juncheng Jia Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 17 40 0 11 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 29 35 0 10 Dec 2021
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models Jialuo Chen Jingyi Wang Tinglan Peng Youcheng Sun Peng Cheng S. Ji Xingjun Ma Bo-wen Li D. Song AAML 20 63 0 10 Dec 2021
Ethical and social risks of harm from Language Models Laura Weidinger John F. J. Mellor Maribeth Rauh Conor Griffin J. Uesato ... Lisa Anne Hendricks William S. Isaac Sean Legassick G. Irving Iason Gabriel PILM 35 982 0 08 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 44 113 0 07 Dec 2021
Modification-Fair Cluster Editing Vincent Froese Leon Kellerhals R. Niedermeier 38 12 0 06 Dec 2021
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization Yunhao Ge Zhi-Qin John Xu Yao Xiao Gan Xin Yunkui Pang Laurent Itti 54 3 0 06 Dec 2021
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items Siddharth D. Jaiswal Animesh Mukherjee 37 2 0 04 Dec 2021
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic H. Nghiem Fred Morstatter 25 8 0 04 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 21 1 0 03 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 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 14 1 0 29 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 43 21 0 23 Nov 2021
Algorithmic Fairness in Face Morphing Attack Detection Raghavendra Ramachandra Kiran Raja Christoph Busch CVBM 27 8 0 23 Nov 2021
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns Qinghua Lu Liming Zhu Xiwei Xu Jon Whittle David M. Douglas Conrad Sanderson 23 35 0 18 Nov 2021
Two-Face: Adversarial Audit of Commercial Face Recognition Systems S. Jaiswal K. Duggirala A. Dash Animesh Mukherjee MLAU AAML 38 10 0 17 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 21 12 0 16 Nov 2021
A Survey on Task Assignment in Crowdsourcing Danula Hettiachchi V. Kostakos Jorge Goncalves 20 56 0 15 Nov 2021