A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,619 papers shown

Title
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 29 4 0 07 Feb 2024
FairWire: Fair Graph Generation O. Deniz Kose Yanning Shen 60 3 0 06 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov Michael Perrot FaML 76 0 0 05 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 36 2 0 05 Feb 2024
Verifiable evaluations of machine learning models using zkSNARKs Tobin South Alexander Camuto Shrey Jain Shayla Nguyen Robert Mahari Christian Paquin Jason Morton Alex Pentland MLAU ALM 49 12 0 05 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics Shahid Alam Zeynep Altıparmak 31 1 0 04 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 63 16 0 02 Feb 2024
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities Mahdi Erfanian H. V. Jagadish Abolfazl Asudeh 46 3 0 02 Feb 2024
Harm Amplification in Text-to-Image Models Susan Hao Renee Shelby Yuchi Liu Hansa Srinivasan Mukul Bhutani Burcu Karagol Ayan Ryan Poplin Shivani Poddar Sarah Laszlo 48 7 0 01 Feb 2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei Yashar Deldjoo FaML 58 4 0 01 Feb 2024
Biospheric AI Marcin Korecki 35 0 0 31 Jan 2024
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning Jeongwoo Park Enrico Liscio P. Murukannaiah AILaw 34 4 0 30 Jan 2024
Graph Fairness Learning under Distribution Shifts Yibo Li Xiao Wang Yujie Xing Shaohua Fan Ruijia Wang Yaoqi Liu Chuan Shi OOD 49 7 0 30 Jan 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You Felix Friedrich Katharina Hämmerl P. Schramowski Manuel Brack Jindrich Libovický Kristian Kersting Alexander Fraser EGVM 40 10 0 29 Jan 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters Shahed Masoudian Cornelia Volaucnik Markus Schedl Navid Rekabsaz 26 5 0 29 Jan 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei Jin DD 96 42 0 29 Jan 2024
Multimodality in Group Communication Research Robin Lange B. F. Welles Gyanendra Sharma Richard J. Radke Javier O. Garcia Christoph Riedl 53 0 0 26 Jan 2024
On the Emergence of Symmetrical Reality Zhenlian Zhang Zeyu Zhang Ziyuan Jiao Yao Su Hangxin Liu Wei Wang Song-Chun Zhu 27 4 0 26 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 79 4 0 26 Jan 2024
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning Mingquan Lin Tianhao Li Zhaoyi Sun G. Holste Ying Ding Fei Wang George Shih Yifan Peng 39 2 0 25 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 49 82 0 25 Jan 2024
Conformal Prediction Sets Improve Human Decision Making Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 31 19 0 24 Jan 2024
Benchmarking the Fairness of Image Upsampling Methods M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 41 3 0 24 Jan 2024
The Neglected Tails in Vision-Language Models Shubham Parashar Zhiqiu Lin Tian Liu Xiangjue Dong Yanan Li Deva Ramanan James Caverlee Shu Kong VLM 53 34 0 23 Jan 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 39 1 0 20 Jan 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos Bertha Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 70 2 0 19 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 61 4 0 18 Jan 2024
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps A. R. Nasab Maedeh Dashti Mojtaba Shahin Mansooreh Zahedi Hourieh Khalajzadeh Chetan Arora Peng Liang 40 3 0 16 Jan 2024
Data vs. Model Machine Learning Fairness Testing: An Empirical Study Arumoy Shome Luís Cruz Arie van Deursen 49 3 0 15 Jan 2024
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations Usman Gohar Michael C. Hunter Agnieszka Marczak-Czajka Robyn R. Lutz Myra B. Cohen Jane Cleland-Huang 18 3 0 14 Jan 2024
An investigation of structures responsible for gender bias in BERT and DistilBERT Thibaud Leteno Antoine Gourru Charlotte Laclau Christophe Gravier 43 4 0 12 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 39 2 0 08 Jan 2024
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification Xiaobin Song Zeyuan Liu Benben Jiang FaML 31 4 0 06 Jan 2024
Class-wise Generalization Error: an Information-Theoretic Analysis Firas Laakom Yuheng Bu Moncef Gabbouj 55 0 0 05 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models Shih-Chi Ma Tatiana Ermakova Benjamin Fabian FaML 37 0 0 04 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 55 0 0 04 Jan 2024
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making Ritwik Vashistha Arya Farahi 62 1 0 04 Jan 2024
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning Allen Minch Hung Anh Vu Anne Marie Warren AAML 32 0 0 04 Jan 2024
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations Dani Kiyasseh Aaron Cohen Chengsheng Jiang Nicholas Altieri SyDa 72 10 0 02 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 49 2 0 02 Jan 2024
New Job, New Gender? Measuring the Social Bias in Image Generation Models Wenxuan Wang Haonan Bai Jen-tse Huang Yuxuan Wan Youliang Yuan Haoyi Qiu Nanyun Peng Michael R. Lyu 56 21 0 01 Jan 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 33 7 0 29 Dec 2023
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 31 4 0 29 Dec 2023
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 47 6 0 27 Dec 2023
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation Bhushan Chaudhary Anubha Pandey Deepak L. Bhatt Darshika Tiwari 35 2 0 26 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 31 5 0 22 Dec 2023
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 28 2 0 20 Dec 2023
Quantifying Bias in Text-to-Image Generative Models Jordan Vice Naveed Akhtar Leonid Sigal Ajmal Mian 49 10 0 20 Dec 2023
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models Seunghoo Hong Juhun Lee Simon S. Woo 51 20 0 20 Dec 2023
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360 Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong 30 5 0 19 Dec 2023