A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,614 papers shown

Title
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 55 196 0 16 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio MLAU FaML 32 1 0 16 Feb 2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio FaML 26 0 0 16 Feb 2023
Group Fairness with Uncertainty in Sensitive Attributes Abhin Shah Maohao Shen J. Jon Ryu Subhro Das P. Sattigeri Yuheng Bu G. Wornell FaML 6 5 0 16 Feb 2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Zichong Wang Yangze Zhou M. Qiu I. Haque Laura Brown Yi He Jianwu Wang David Lo Wenbin Zhang FaML 28 24 0 16 Feb 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 43 12 0 16 Feb 2023
Streamlining models with explanations in the learning loop Francesco Lomuscio P. Bajardi Alan Perotti E. Amparore FAtt 34 0 0 15 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 48 23 0 14 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 43 3 0 13 Feb 2023
Diminished Diversity-of-Thought in a Standard Large Language Model Peter S. Park P. Schoenegger Chongyang Zhu ELM AI4CE ALM 33 38 0 13 Feb 2023
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 36 19 0 13 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 41 18 0 13 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 27 44 0 13 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 29 2 0 12 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 28 5 0 11 Feb 2023
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models Riku Arakawa Hiromu Yakura Masataka Goto 28 23 0 11 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 36 7 0 10 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 52 141 0 08 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 45 120 0 07 Feb 2023
Robustness Implies Fairness in Causal Algorithmic Recourse A. Ehyaei Amir-Hossein Karimi Bernhard Schölkopf S. Maghsudi FaML 41 12 0 07 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 30 17 0 07 Feb 2023
Fair Minimum Representation Clustering Connor Lawless Oktay Gunluk FaML 37 2 0 06 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 26 8 0 06 Feb 2023
FineDeb: A Debiasing Framework for Language Models Akash Saravanan Dhruv Mullick Habibur Rahman Nidhi Hegde FedML AI4CE 28 4 0 05 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 31 0 0 05 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 42 19 0 03 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 49 11 0 03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 41 21 0 02 Feb 2023
Learning with Exposure Constraints in Recommendation Systems Omer Ben-Porat Rotem Torkan 29 12 0 02 Feb 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 37 97 0 31 Jan 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 32 4 0 31 Jan 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Xia Hu 35 4 0 31 Jan 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 43 20 0 30 Jan 2023
YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment Slavomira Schneidereit Ashkan Mansouri Yarahmadi Toni Schneidereit M. Breuß Marco Gebauer 35 1 0 30 Jan 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 28 2 0 29 Jan 2023
Pragmatic Fairness: Developing Policies with Outcome Disparity Control Limor Gultchin Siyuan Guo Alan Malek Silvia Chiappa R. Silva 31 1 0 28 Jan 2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets Tosin Adewumi Isabella Sodergren Lama Alkhaled Sana Sabah Sabry F. Liwicki Marcus Liwicki 46 4 0 28 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 49 37 0 27 Jan 2023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective Hui He Qi Zhang Shoujin Wang Kun Yi ZhenDong Niu Longbin Cao AI4TS 37 12 0 27 Jan 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations Mingquan Lin Yuyun Xiao Bojian Hou Tingyi Wanyan M. Sharma Zhangyang Wang Fei Wang S. V. Tassel Yifan Peng 28 5 0 26 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 49 33 0 26 Jan 2023
Fair Credit Scorer through Bayesian Approach Zhuo Zhao FaML 19 0 0 20 Jan 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 30 1 0 20 Jan 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 35 13 0 18 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 43 58 0 18 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 34 7 0 18 Jan 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 27 68 0 12 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 55 74 0 11 Jan 2023
A review of clustering models in educational data science towards fairness-aware learning Tai Le Quy Gunnar Friege Eirini Ntoutsi FaML 36 14 0 09 Jan 2023
Fair Multi-Exit Framework for Facial Attribute Classification Ching-Hao Chiu Hao-Wei Chung Yu-Jen Chen Yiyu Shi Tsung-Yi Ho CVBM 16 4 0 08 Jan 2023