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
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Joslin Kenfack Samira Ebrahimi Kahou Ulrich Aivodji 11 0 0 14 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing Yezi Liu Prathyush P. Poduval Wenjun Huang Yang Ni Hanning Chen Mohsen Imani MU 23 0 0 14 May 2025
Test-Time Augmentation for Pose-invariant Face Recognition Jaemin Jung Youngjoon Jang Joon Son Chung CVBM 18 0 0 14 May 2025
A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tianyu Zhang Shen Dong O. D. Kose Yanning Shen Y. Zhang FaML 51 0 0 12 May 2025
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning Jarren Briscoe Assefaw Gebremedhin FaML 85 3 0 08 May 2025
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification Sura Alhanouti Parinaz Naghizadeh 29 0 0 08 May 2025
Retrieval Augmented Generation Evaluation for Health Documents Mario Ceresa Lorenzo Bertolini Valentin Comte Nicholas Spadaro Barbara Raffael ... Sergio Consoli Amalia Muñoz Piñeiro Alex Patak Maddalena Querci Tobias Wiesenthal RALM 3DV 39 0 1 07 May 2025
Detecting Musical Deepfakes Nick Sunday 12 0 0 03 May 2025
Fair Clustering with Clusterlets Mattia Setzu Riccardo Guidotti FaML FedML 23 0 0 03 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 45 0 0 03 May 2025
DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision Ignacy Stepka Lukasz Sztukiewicz Michał Wiliński Jerzy Stefanowski 29 0 0 02 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 29 0 0 01 May 2025
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Kaixun Yang Mladen Raković D. Gašević Guanliang Chen 39 0 0 30 Apr 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 43 0 0 29 Apr 2025
Local Statistical Parity for the Estimation of Fair Decision Trees Andrea Quintanilla Johan Van Horebeek 30 0 0 25 Apr 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Felix Kares Timo Speith Hanwei Zhang Markus Langer FAtt XAI 38 0 0 23 Apr 2025
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi Hatice Gunes Ali Etemad 23 0 0 21 Apr 2025
aiXamine: Simplified LLM Safety and Security Fatih Deniz Dorde Popovic Yazan Boshmaf Euisuh Jeong M. Ahmad Sanjay Chawla Issa M. Khalil ELM 75 0 0 21 Apr 2025
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings Saniya Karwa Navpreet Singh CoGe 34 0 0 20 Apr 2025
Biased by Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers L. Zavolokina Kilian Sprenkamp Zoya Katashinskaya Daniel Gordon Jones 31 0 0 20 Apr 2025
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach Xiaoyang Wang Christopher C. Yang 14 0 0 19 Apr 2025
Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey Thippa Reddy Gadekallu K. Dev Sunder Ali Khowaja Weizheng Wang Hailin Feng Kai Fang Sharnil Pandya Wei Wang 24 0 0 18 Apr 2025
Large Language Models Will Change The Way Children Think About Technology And Impact Every Interaction Paradigm Russell Beale 24 0 0 18 Apr 2025
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition Haidar Khan H. A. Alyahya Yazeed Alnumay M Saiful Bari B. Yener ELM LRM 52 0 0 17 Apr 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 37 0 0 16 Apr 2025
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study Siddharth Mehrotra Ujwal Gadiraju Eva Bittner Folkert van Delden Catholijn M. Jonker Myrthe L. Tielman 22 0 0 15 Apr 2025
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing Yifan Yang Yang Liu Parinaz Naghizadeh 38 1 0 10 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 21 0 0 08 Apr 2025
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks Enze Shi Linglong Kong Bei Jiang FaML FedML 59 0 0 08 Apr 2025
The challenge of uncertainty quantification of large language models in medicine Zahra Atf Seyed Amir Ahmad Safavi-Naini Peter Lewis Aref Mahjoubfar Nariman Naderi Thomas Savage Ali Soroush 21 0 0 07 Apr 2025
Measuring the right thing: justifying metrics in AI impact assessments Stefan Buijsman Herman Veluwenkamp 24 0 0 07 Apr 2025
BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents Haoxuan Li Mingyu Derek Ma Jen-tse Huang Zhaotian Weng Wei Wang Jieyu Zhao 32 0 0 07 Apr 2025
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain Dominik Kowald MLAU 61 0 0 07 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 59 0 0 03 Apr 2025
Reasoning LLMs for User-Aware Multimodal Conversational Agents Hamed Rahimi Jeanne Cattoni Meriem Beghili Mouad Abrini Mahdi Khoramshahi Maribel Pino Mohamed Chetouani LRM 34 0 0 02 Apr 2025
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals Lucy Havens Benjamin Bach Melissa Mhairi Terras Beatrice Alex 44 0 0 01 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics Ryan Franks A. Miroshnikov 35 0 0 01 Apr 2025
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training Rajeev Kumar Harishankar Kumar Kumari Shalini 52 0 0 01 Apr 2025
P2NIA: Privacy-Preserving Non-Iterative Auditing Jade Garcia Bourrée H. Lautraite Sébastien Gambs Gilles Tredan Erwan Le Merrer Benoit Rottembourg 37 0 0 01 Apr 2025
Role and Use of Race in AI/ML Models Related to Health Martin C. Were Ang Li Bradley Malin Zhijun Yin Joseph R. Coco ... Laurie L. Novak Rachele Hendricks-Sturrup Abiodun Oluyomi Shilo Anders Chao Yan 33 0 0 01 Apr 2025
e-person Architecture and Framework for Human-AI Co-adventure Relationship Kanako Esaki Tadayuki Matsumura Yang Shao Hiroyuki Mizuno 34 0 0 28 Mar 2025
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval Karanbir Singh William Ngu 34 0 0 27 Mar 2025
Active Data Sampling and Generation for Bias Remediation Antonio Maratea Rita Perna 72 0 0 26 Mar 2025
Sacred or Secular? Religious Bias in AI-Generated Financial Advice Muhammad Salar Khan Hamza Umer AIFin 19 0 0 26 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 36 0 0 25 Mar 2025
Opportunities and Challenges of Frontier Data Governance With Synthetic Data Madhavendra Thakur Jason Hausenloy 51 0 0 21 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning L. Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 52 0 0 21 Mar 2025
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities Wen Xu Elham Dolatabadi FaML 87 0 0 21 Mar 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 45 0 0 20 Mar 2025