Title
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 261 22 0 29 Sep 2023
Bias and Fairness in Chatbots: An OverviewAPSIPA Transactions on Signal and Information Processing (TASIP), 2023 Jintang Xue Yun Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.-C. Jay Kuo 303 57 0 16 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority ReweighingACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 349 1 0 15 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous DevicesConference on Fairness, Accountability and Transparency (FAccT), 2023 Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 327 7 0 13 Sep 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models Emmanuel Klu Sameer Sethi 174 0 0 07 Sep 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus RankingConference on Fairness, Accountability and Transparency (FAccT), 2023 Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 165 5 0 11 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcareBritish medical journal (BMJ), 2023 Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx ... Yi Zeng Yunusa G Mohammed Yves Saint James Aquino Zohaib Salahuddin M. P. Starmans AI4TS 297 206 0 11 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 163 5 0 09 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine LearningIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 125 21 0 07 Aug 2023
A Suite of Fairness Datasets for Tabular Classification Martin Hirzel Michael Feffer FaML 83 6 0 31 Jul 2023
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling Marguerite Sauce Antoine Chancel Antoine Ly 163 0 0 25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 181 16 0 21 Jul 2023
Challenges and Solutions in AI for All R. Shams Didar Zowghi Muneera Bano 156 7 0 20 Jul 2023
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI HarmsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Organizers of QueerInAI Nathaniel Dennler Anaelia Ovalle Ashwin Singh Luca Soldaini ... Kyra Yee Irene Font Peradejordi Zeerak Talat Mayra Russo Jessica de Jesus de Pinho Pinhal 198 22 0 15 Jul 2023
On The Impact of Machine Learning Randomness on Group FairnessConference on Fairness, Accountability and Transparency (FAccT), 2023 Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 232 39 0 09 Jul 2023
When Fair Classification Meets Noisy Protected AttributesAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 151 10 0 06 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity MatchingProceedings of the VLDB Endowment (PVLDB), 2023 N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 129 19 0 06 Jul 2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent AnalyticsProceedings of the IEEE (Proc. IEEE), 2023 Chuan Qin Le Zhang Yihang Cheng Rui Zha Dazhong Shen ... Xi Chen Ying Sun Chen Zhu Hengshu Zhu Hui Xiong 314 60 0 03 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 183 13 0 30 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsInternational Conference on Learning Representations (ICLR), 2023 Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Helen Zhou 283 40 0 15 Jun 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 332 19 0 15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 118 6 0 14 Jun 2023
ICON $^2$ : Reliably Benchmarking Predictive Inequity in Object Detection Sruthi Sudhakar Viraj Prabhu Olga Russakovsky Judy Hoffman 140 2 0 07 Jun 2023
Fair Column Subset SelectionKnowledge Discovery and Data Mining (KDD), 2023 Antonis Matakos Bruno Ordozgoiti Suhas Thejaswi 252 4 0 07 Jun 2023
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance Jie Zhu Mengsha Hu Xueyao Liang Amy Zhang Ruoming Jin Rui Liu 140 1 0 07 Jun 2023
Fair multilingual vandalism detection system for WikipediaKnowledge Discovery and Data Mining (KDD), 2023 Mykola Trokhymovych Muniza Aslam Ai-Jou Chou R. Baeza-Yates Diego Sáez-Trumper KELM 92 4 0 02 Jun 2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations V. Venugopal Abhishek Gupta R. Takhar Charlene Jin Yee Liew Catherine Jones G. Szarf 85 1 0 02 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 179 2 0 31 May 2023
Adapting Fairness Interventions to Missing ValuesNeural Information Processing Systems (NeurIPS), 2023 R. Feng Flavio du Pin Calmon Hao Wang FaML 177 16 0 30 May 2023
Causality-Aided Trade-off Analysis for Machine Learning FairnessInternational Conference on Automated Software Engineering (ASE), 2023 Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 398 13 0 22 May 2023
Towards ethical multimodal systems Alexis Roger Esma Aïmeur Irina Rish 217 3 0 26 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023 William La Cava FaML 114 10 0 21 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offsIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023 Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 449 17 0 21 Apr 2023
Assessing Perceived Fairness from Machine Learning Developer's Perspective Anoop Mishra Deepak Khazanchi FaML 121 0 0 07 Apr 2023
Fairness through Aleatoric UncertaintyInternational Conference on Information and Knowledge Management (CIKM), 2023 Anique Tahir Lu Cheng Huan Liu 242 18 0 07 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data DriftIEEE International Conference on Data Engineering (ICDE), 2023 Ke Yang A. Meliou 255 1 0 30 Mar 2023
Uncovering Bias in Personal InformaticsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2023 Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 250 10 0 27 Mar 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelExpert systems with applications (ESWA), 2023 Tri Dung Duong Qian Li Guandong Xu 127 2 0 26 Mar 2023
Bias mitigation techniques in image classification: fair machine learning in human heritage collectionsJournal of WSCG (WSCG), 2023 Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 226 1 0 20 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 210 1 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust OptimizationInternational Conference on Learning Representations (ICLR), 2023 Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 178 24 0 01 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 250 1 0 17 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model Robustness Zeliang Zhang Jinyang Jiang Minjie Chen Zhiyuan Wang Yijie Peng Zhaofei Yu 245 3 0 17 Feb 2023
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness Natasa Krco Thibault Laugel Vincent Grari Jean-Michel Loubes Marcin Detyniecki 214 0 0 14 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 313 26 0 14 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in PracticeConference on Fairness, Accountability and Transparency (FAccT), 2023 Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 129 30 0 13 Feb 2023
An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models Falaah Arif Khan Denys Herasymuk Nazar Protsiv Julia Stoyanovich 137 3 0 09 Feb 2023
A conceptual model for leaving the data-centric approach in machine learning S. Scher Bernhard C. Geiger Simone Kopeinik A. Trugler Dominik Kowald 191 0 0 07 Feb 2023
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics Huy Tu Tim Menzies 113 0 0 03 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 248 72 0 01 Feb 2023