Title
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 14 5 0 13 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 34 28 0 10 Jan 2022
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification Haibin Zheng Zhiqing Chen Tianyu Du Xuhong Zhang Yao Cheng S. Ji Jingyi Wang Yue Yu Jinyin Chen 11 50 0 25 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
AI Ethics Principles in Practice: Perspectives of Designers and Developers Conrad Sanderson David M. Douglas Qinghua Lu Emma Schleiger Jon Whittle J. Lacey G. Newnham S. Hajkowicz Cathy J. Robinson David Hansen FaML 31 46 0 14 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 21 36 0 10 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 19 4 0 03 Dec 2021
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 65 46 0 29 Nov 2021
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 11 5 0 03 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 30 3 0 01 Nov 2021
Profit equitably: An investigation of market maker's impact on equitable outcomes Kshama Dwarakanath Svitlana Vyetrenko T. Balch 14 3 0 29 Oct 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 21 30 0 29 Oct 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Rameswar Panda P. Sattigeri G. Wornell 22 27 0 28 Oct 2021
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias William Thong Cees G. M. Snoek 17 14 0 27 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 22 26 0 25 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 6 8 0 19 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 21 3 0 17 Oct 2021
Systematic Inequalities in Language Technology Performance across the World's Languages Damián E. Blasi Antonios Anastasopoulos Graham Neubig 127 131 0 13 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 150 39 0 12 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 43 29 0 03 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 16 9 0 29 Sep 2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making Jianlong Zhou Sunny Verma Mudit Mittal Fang Chen FaML 6 9 0 29 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 24 27 0 25 Sep 2021
On the Fairness of Swarm Learning in Skin Lesion Classification Dian Fan Yifan Wu Xiaoxiao Li 43 20 0 24 Sep 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 51 33 0 21 Sep 2021
Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 21 18 0 20 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 29 1 0 13 Sep 2021
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion Mohammad Arif Ul Alam 14 7 0 11 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 11 2 0 09 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 29 23 0 01 Sep 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 21 17 0 20 Aug 2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 28 40 0 12 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 32 43 0 11 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 99 93 0 06 Aug 2021
Fairness in Algorithmic Profiling: A German Case Study Christoph Kern Ruben L. Bach H. Mautner Frauke Kreuter 42 13 0 04 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 29 21 0 20 Jul 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 43 3 0 17 Jul 2021
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections Kunal Relia 24 6 0 15 Jul 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 104 196 0 12 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization Qing Guo Junya Chen Dong Wang Yuewei Yang Xinwei Deng Lawrence Carin Fan Li Jing-Zheng Huang Chenyang Tao 29 19 0 02 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 25 78 0 23 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 21 134 0 16 Jun 2021
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI Kiana Alikhademi Brianna Richardson E. Drobina J. Gilbert 22 33 0 14 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 21 32 0 10 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 15 3 0 03 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 18 110 0 02 Jun 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning Mary Roszel Robert Norvill Jean Hilger R. State 28 4 0 31 May 2021