A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

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Title
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings Changhong Wang G. Richard Brian McFee 14 0 0 20 Jul 2023
Challenges and Solutions in AI for All R. Shams Didar Zowghi Muneera Bano 36 4 0 20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 35 6 0 20 Jul 2023
Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting? O. Dige Jacob-Junqi Tian David B. Emerson Faiza Khan Khattak ALM 20 5 0 19 Jul 2023
Divert More Attention to Vision-Language Object Tracking Mingzhe Guo Zhipeng Zhang Li Jing Haibin Ling Heng Fan VLM 47 4 0 19 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 52 1 0 18 Jul 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 41 1 0 17 Jul 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 23 8 0 17 Jul 2023
How Different Is Stereotypical Bias Across Languages? Ibrahim Tolga Ozturk R. Nedelchev C. Heumann Esteban Garces Arias Marius Roger Bernd Bischl Matthias Aßenmacher 51 2 0 14 Jul 2023
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis E. A. L. Neto J. Bailiss Axel Finke J. Miller Georgina Cosma 11 0 0 13 Jul 2023
National Origin Discrimination in Deep-learning-powered Automated Resume Screening Changhao Nai Kuangzheng Li Haibing Lu 27 3 0 13 Jul 2023
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems Tian Zhao Mojtaba Taherisadr Salma Elmalaki 28 1 0 12 Jul 2023
Memorization Through the Lens of Curvature of Loss Function Around Samples Isha Garg Deepak Ravikumar Kaushik Roy TDI 21 11 0 11 Jul 2023
FairLay-ML: Intuitive Remedies for Unfairness in Data-Driven Social-Critical Algorithms Normen Yu Gang Tan Saeid Tizpaz-Niari FaML 30 4 0 11 Jul 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 53 21 0 10 Jul 2023
DBFed: Debiasing Federated Learning Framework based on Domain-Independent Jiale Li Zhixin Li Yibo Wang Yao Li Lei Wang FedML 22 0 0 10 Jul 2023
Learning to Generate Equitable Text in Dialogue from Biased Training Data Anthony Sicilia Malihe Alikhani 64 15 0 10 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 41 30 0 09 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Xia Hu Na Zou 37 4 0 09 Jul 2023
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers Amirhossein Askari-Farsangi A. Sharifi-Zarchi M. Rohban LM&MA 50 0 0 08 Jul 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 24 6 0 06 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review M. Wong Shangxin Guo Ching Nam Hang Siu-Wai Ho C. Tan 50 78 0 04 Jul 2023
Systematic Bias in Sample Inference and its Effect on Machine Learning Owen OÑeill F. Costello 16 0 0 03 Jul 2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems Furkan Gursoy I. Kakadiaris 38 4 0 02 Jul 2023
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision Sam Goree David J. Crandall EgoV 21 1 0 30 Jun 2023
Improving Fairness in Deepfake Detection Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 38 32 0 29 Jun 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization Meiyu Zhong Ravi Tandon FaML 21 4 0 28 Jun 2023
Systematic analysis of the impact of label noise correction on ML Fairness I. O. E. Silva Carlos Soares I. Sousa R. Ghani 13 1 0 28 Jun 2023
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics Tânia Carvalho Nuno Moniz Luís Antunes 35 2 0 27 Jun 2023
Simulating counterfactuals Juha Karvanen Santtu Tikka M. Vihola 43 1 0 27 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 66 8 0 26 Jun 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 33 6 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 34 43 0 25 Jun 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya Ilia Shumailov Ross J. Anderson SILM AAML 34 0 0 24 Jun 2023
Human-AI Coevolution D. Pedreschi Luca Pappalardo Emanuele Ferragina R. Baeza-Yates Albert-László Barabási ... Paul Lukowicz A. Passarella Alex Pentland John Shawe-Taylor Alessandro Vespignani 49 14 0 23 Jun 2023
Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems Friederike Rohde Josephin Wagner A. Meyer Philipp Reinhard Marcus Voss U. Petschow Anne Mollen 18 2 0 22 Jun 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 35 0 0 19 Jun 2023
Fairness Index Measures to Evaluate Bias in Biometric Recognition Ketan Kotwal S´ebastien Marcel 45 8 0 19 Jun 2023
Gender Bias in Transformer Models: A comprehensive survey Praneeth Nemani Yericherla Deepak Joel Pallavi Vijay Farhana Ferdousi Liza 32 3 0 18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 38 5 0 18 Jun 2023
Fair Causal Feature Selection Zhaolong Ling Jingxuan Wu Peng Zhou Xingyu Wu Kui Yu Xindong Wu FaML 24 1 0 17 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Xia Hu 52 26 0 15 Jun 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization Yan Luo Yu Tian Minfei Shi Louis R. Pasquale Lucy Q. Shen Nazlee Zebardast T. Elze Mengyu Wang 39 18 0 15 Jun 2023
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing Matthew P. Stewart Pete Warden Yasmine Omri Shvetank Prakash Joao Santos ... Jim MacArthur Nat Jeffries Sachin Katti Brian Plancher Vijay Janapa Reddi 43 1 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 40 5 0 14 Jun 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 50 22 0 13 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 38 10 0 12 Jun 2023
On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models -- A Perspective Minhyeok Lee 11 2 0 12 Jun 2023
Toward Fair Facial Expression Recognition with Improved Distribution Alignment Mojtaba Kolahdouzi Ali Etemad 34 1 0 11 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 43 6 0 08 Jun 2023