A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,604 papers shown

Title
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? Yunbo Lyu Zhou Yang Yuqing Niu Jing Jiang David Lo 32 1 0 28 Jan 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 61 3 0 22 Jan 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act Kristof Meding FaML 66 1 0 22 Jan 2025
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR) Stephanie Eckman Bolei Ma Christoph Kern Rob Chew Barbara Plank Frauke Kreuter 41 0 0 12 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 61 0 0 10 Jan 2025
Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts Elizabeth Schaefer Kirk Roberts 38 0 0 10 Jan 2025
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models Di Jin Xing Liu Yu Liu Jia Qing Yap Andrea Wong Adriana Crespo Qi Lin Zhiyuan Yin Qiang Yan Ryan Ye EGVM VLM 128 0 0 10 Jan 2025
Deontic Temporal Logic for Formal Verification of AI Ethics Priya T.V. Shrisha Rao 34 0 0 10 Jan 2025
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Nurit Cohen-Inger Seffi Cohen Neomi Rabaev L. Rokach Bracha Shapira 31 1 0 07 Jan 2025
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Qinyi Liu Oscar Blessed Deho Farhad Vadiee Mohammad Khalil Srecko Joksimovic George Siemens SyDa 39 6 0 03 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 25 0 0 03 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 75 0 0 03 Jan 2025
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 37 0 0 31 Dec 2024
Engineering Digital Systems for Humanity: a Research Roadmap Marco Autili Martina De Sanctis Paola Inverardi Patrizio Pelliccione 37 2 0 27 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration Zhiyu Zhu Jiayu Zhang Zhibo Jin Huaming Chen Jianlong Zhou Fang Chen AAML ViT 33 0 0 27 Dec 2024
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models Mounia Drissi 36 0 0 23 Dec 2024
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Yiqin Luo Tianlong Gu 75 0 0 21 Dec 2024
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He Declan Kutscher Yiqun Xie Jacob Aaron Zwart Zhe Jiang Huaxiu Yao X. Jia AI4CE 67 0 0 21 Dec 2024
Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study Daniel Smolyak Arshana Welivita Margrét V. Bjarnadóttir Ritu Agarwal SyDa 78 0 0 20 Dec 2024
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? Gianmario Voria Rebecca Di Matteo Giammaria Giordano Gemma Catolino Fabio Palomba 72 0 0 20 Dec 2024
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 86 0 0 20 Dec 2024
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Gianmario Voria Stefano Lambiase Maria Concetta Schiavone Gemma Catolino Fabio Palomba 78 1 0 18 Dec 2024
FairTP: A Prolonged Fairness Framework for Traffic Prediction Jiangnan Xia Yu Yang Jiaxing Shen Senzhang Wang Jiannong Cao AI4TS 85 0 0 18 Dec 2024
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Michael Yeung Toya Teramoto Songtao Wu Tatsuo Fujiwara Kenji Suzuki Tamaki Kojima 71 0 0 09 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 68 0 0 05 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications M. Islam M. Mridha Md Abrar Jahin Nilanjan Dey 64 2 0 05 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 57 0 0 04 Dec 2024
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics Mijntje Meijer Hadi Mohammadi Ayoub Bagheri 59 0 0 01 Dec 2024
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning Ruifan Huang Haixia Liu FedML FaML 64 0 0 01 Dec 2024
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation Chengyu Li Debo Cheng Guixian Zhang Yi Li Shichao Zhang 78 0 0 30 Nov 2024
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare Tianqi Shang Weiqing He Tianlong Chen Ying Ding Huanmei Wu Kaixiong Zhou Li Shen 62 0 0 29 Nov 2024
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
Fairness And Performance In Harmony: Data Debiasing Is All You Need Junhua Liu Wendy Wan Yee Hui Roy Ka-wei Lee Kwan Hui Lim FaML 67 0 0 26 Nov 2024
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management Catalina M Jaramillo Paul Squires Julian Togelius 65 2 0 25 Nov 2024
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis Marcel Robeer Michiel Bron Elize Herrewijnen Riwish Hoeseni Floris Bex 62 0 0 22 Nov 2024
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian EGVM 66 0 0 21 Nov 2024
Exploring Accuracy-Fairness Trade-off in Large Language Models Qingquan Zhang Qiqi Duan Bo Yuan Yuhui Shi J. Liu 67 0 0 21 Nov 2024
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian Ajmal Mian DiffM 82 0 0 21 Nov 2024
Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations Laura N. Montoya J. S. Roberts Belen Sanchez Hidalgo 57 0 0 19 Nov 2024
Locomotion Mode Transitions: Tackling System- and User-Specific Variability in Lower-Limb Exoskeletons Andrea Dal Prete Zeynep Ozge Orhan Anastasia Bolotnikova Marta Gandolla A. Ijspeert Mohamed Bouri 64 0 0 19 Nov 2024
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Prakhar Ganesh Usman Gohar Lu Cheng G. Farnadi FaML 36 2 0 17 Nov 2024
Bias in Large Language Models: Origin, Evaluation, and Mitigation Yufei Guo Muzhe Guo Juntao Su Zhou Yang Mengqiu Zhu Hongfei Li Mengyang Qiu Shuo Shuo Liu AILaw 28 9 0 16 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 125 4 0 13 Nov 2024
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han L. Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Jianwei Yin FedML 40 0 0 11 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 63 0 0 10 Nov 2024
Interacting Large Language Model Agents. Interpretable Models and Social Learning Adit Jain Vikram Krishnamurthy LLMAG 28 0 0 02 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 26 2 0 02 Nov 2024
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn Markelle Kelly Sameer Singh Padhraic Smyth 41 0 0 31 Oct 2024
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness Christos Fragkathoulas Vasiliki Papanikou E. Pitoura Evimaria Terzi 29 0 0 29 Oct 2024
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play Yifan Zeng Liang Kairong Fangzhou Dong Peijia Zheng 48 0 0 26 Oct 2024