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
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 34 0 0 07 Apr 2023
Assessing Perceived Fairness from Machine Learning Developer's Perspective Anoop Mishra Deepak Khazanchi FaML 35 0 0 07 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 38 248 0 07 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 27 27 0 07 Apr 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 45 6 0 07 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 50 11 0 07 Apr 2023
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors Can Li Xiaoqian Jiang Kai Zhang MedIm 36 15 0 05 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 67 7 0 05 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 61 2 0 31 Mar 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Yangqiu Song Jiejun Xu Yada Zhu Jingrui He 32 7 0 30 Mar 2023
Queer In AI: A Case Study in Community-Led Participatory AI AI OrganizersOfQueerin : Anaelia Ovalle Arjun Subramonian Ashwin Singh ... Evyn Dǒng Jackie Kay Manu Saraswat Nikhil Vytla Luke Stark 21 47 0 29 Mar 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 48 3 0 29 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 41 0 0 29 Mar 2023
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models S. Beheshti Mahdi Shamsi 18 0 0 28 Mar 2023
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition Iris Dominguez-Catena D. Paternain M. Galar 31 10 0 28 Mar 2023
Uncovering Bias in Personal Informatics Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 26 6 0 27 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 33 18 0 27 Mar 2023
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science K. Janowicz AI4CE 24 16 0 27 Mar 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 39 9 0 24 Mar 2023
Counterfactually Fair Regression with Double Machine Learning Patrick Rehill FaML 14 1 0 21 Mar 2023
Bias mitigation techniques in image classification: fair machine learning in human heritage collections Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 45 1 0 20 Mar 2023
Toward Artificial Empathy for Human-Centered Design: A Framework Qihao Zhu Jianxi Luo 40 16 0 19 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 39 193 0 17 Mar 2023
She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models Christoph Treude Hideaki Hata 20 19 0 17 Mar 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services Tzu-Sheng Kuo Hong Shen Jisoo Geum N. Jones Jason I. Hong Haiyi Zhu Kenneth Holstein 41 59 0 17 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 51 18 0 15 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad Bahjat Kawar Yonatan Belinkov DiffM 53 86 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 38 1 0 14 Mar 2023
A Study on Bias and Fairness In Deep Speaker Recognition Amirhossein Hajavi Ali Etemad 27 2 0 14 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 48 13 0 10 Mar 2023
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition Varsha Suresh Desmond C. Ong FaML CVBM 37 4 0 08 Mar 2023
Planetary computing for data-driven environmental policy-making Patrick Ferris Michael Dales S. Jaffer Amelia Holcomb Eleanor Toye Scott ... A. Eyres A. Balmford David A. Coomes Srinivasan Keshav Anil Madhavapeddy 36 0 0 08 Mar 2023
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism Peter Washington Dennis Paul Wall 31 40 0 07 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 22 13 0 06 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 29 12 0 06 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 10 2 0 03 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 4 0 03 Mar 2023
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation Arpit Narechania F. Du Atanu R. Sinha Ryan A. Rossi Jane Hoffswell Shunan Guo E. Koh S. Navathe Alex Endert 38 9 0 02 Mar 2023
A Vision for Semantically Enriched Data Science Udayan Khurana Kavitha Srinivas Sainyam Galhotra Horst Samulowitz 43 2 0 02 Mar 2023
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations E. Small Yueqing Xuan Danula Hettiachchi Kacper Sokol 36 10 0 02 Mar 2023
PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems Daan Di Scala P. Yolum 21 2 0 27 Feb 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng Li FaML 38 18 0 25 Feb 2023
Intersectional Fairness: A Fractal Approach Giulio Filippi Sara Zannone Adriano Soares Koshiyama 27 1 0 24 Feb 2023
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation Angie Zhang Olympia Walker Kaci Nguyen Jiajun Dai Anqing Chen Min Kyung Lee 25 45 0 22 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 36 1 0 22 Feb 2023
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 21 1 0 22 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 26 13 0 21 Feb 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations Aditya Bhattacharya Jeroen Ooge Gregor Stiglic K. Verbert 16 30 0 21 Feb 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding Ruixiang Tang Daochen Zha Na Zou Kai Zhang Xiaoqian Jiang Xia Hu 41 9 0 18 Feb 2023