A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,616 papers shown

Title
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues David Q. Sun Artem Abzaliev Hadas Kotek Zidi Xiu Christopher Klein Jason D. Williams 37 9 0 27 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 44 4 0 26 Oct 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation Xi Wang Hossein A. Rahmani Jiqun Liu Emine Yilmaz 38 12 0 25 Oct 2023
AI Hazard Management: A framework for the systematic management of root causes for AI risks Ronald Schnitzer Andreas Hapfelmeier Sven Gaube Sonja Zillner 37 3 0 25 Oct 2023
On the Interplay between Fairness and Explainability Stephanie Brandl Emanuele Bugliarello Ilias Chalkidis FaML 32 4 0 25 Oct 2023
Identifying Reasons for Bias: An Argumentation-Based Approach Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML 45 1 0 25 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 47 1 0 25 Oct 2023
Do Differences in Values Influence Disagreements in Online Discussions? Michiel van der Meer Piek T. J. M. Vossen Catholijn M. Jonker P. Murukannaiah 31 16 0 24 Oct 2023
Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring Ashish Sharma Kevin Rushton Inna Wanyin Lin Theresa Nguyen Tim Althoff 29 57 0 24 Oct 2023
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 53 0 0 23 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Ivan Brugere Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 28 0 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 36 0 0 23 Oct 2023
Fairness-aware Optimal Graph Filter Design O. Deniz Kose Yanning Shen Gonzalo Mateos FaML 43 4 0 22 Oct 2023
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation Can Li Dejian Lai Xiaoqian Jiang Kai Zhang 39 4 0 20 Oct 2023
Dissecting Causal Biases Ruta Binkyt.e Sami Zhioua Yassine Turki CML FaML 42 2 0 20 Oct 2023
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability Patrick Rehill Nicholas Biddle CML ELM 47 3 0 20 Oct 2023
Understanding Generative AI in Art: An Interview Study with Artists on G-AI from an HCI Perspective Jingyu Shi Rahul Jain Runlin Duan Karthik Ramani 45 8 0 19 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 50 60 0 19 Oct 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 24 3 0 18 Oct 2023
Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging Mahsa Dibaji Neha Gianchandani Akhil Nair Mansi Singhal Roberto Souza Mariana P. Bento 28 2 0 17 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 47 3 0 17 Oct 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 40 2 0 17 Oct 2023
Assessing the Causal Impact of Humanitarian Aid on Food Security Jordi Cerda Bautista José María Tárraga Vasileios Sitokonstantinou Gustau Camps-Valls 39 1 0 17 Oct 2023
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges Thilo Spinner Rebecca Kehlbeck Rita Sevastjanova Tobias Stähle Daniel A. Keim Oliver Deussen Andreas Spitz Mennatallah El-Assady 40 2 0 17 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 41 3 0 17 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 154 150 0 16 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 26 2 0 16 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 37 1 0 16 Oct 2023
Identifying and examining machine learning biases on Adult dataset Sahil Girhepuje FaML 13 2 0 13 Oct 2023
"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models A. Salinas Louis Penafiel Robert McCormack Fred Morstatter 35 5 0 13 Oct 2023
Metrics for popularity bias in dynamic recommender systems Valentijn Braun D. Bhaumik Diptish Dey 37 0 0 12 Oct 2023
Auditing Gender Analyzers on Text Data Siddharth D. Jaiswal Ankit Kumar Verma Animesh Mukherjee 30 4 0 09 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 28 0 0 09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 38 6 0 09 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 44 14 0 08 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 29 2 0 04 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 38 7 0 03 Oct 2023
Can Language Models be Instructed to Protect Personal Information? Yang Chen Ethan Mendes Sauvik Das Wei Xu Alan Ritter PILM 34 35 0 03 Oct 2023
An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features Mohamed Huti Tiarna Lee Elinor Sawyer Andrew P. King 23 3 0 29 Sep 2023
Fair Canonical Correlation Analysis Zhuoping Zhou Davoud Ataee Tarzanagh Bojian Hou Boning Tong Jia Xu Yanbo Feng Jinjin Yu Li Shen 78 5 0 27 Sep 2023
Demographic Parity: Mitigating Biases in Real-World Data Orestis Loukas Holly Chung 37 6 0 27 Sep 2023
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives Romain Egele Tyler Chang Yixuan Sun V. Vishwanath Prasanna Balaprakash 46 3 0 26 Sep 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited Patrick Feeney M. C. Hughes 44 3 0 25 Sep 2023
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 64 16 0 24 Sep 2023
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice Yicheng Wang Xiaotian Han Lei Yu Na Zou 71 0 0 23 Sep 2023
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing Sofia Yfantidou Dimitris Spathis Marios Constantinides Tong Xia N. V. Berkel FaML 39 2 0 22 Sep 2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy Minhui Xue Surya Nepal Ling Liu Subbu Sethuvenkatraman Xingliang Yuan Carsten Rudolph Ruoxi Sun Greg Eisenhauer 62 4 0 20 Sep 2023
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects Vasilis Gkolemis Theodore Dalamagas Eirini Ntoutsi Christos Diou 29 5 0 20 Sep 2023
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration Sybille Légitime Kaustubh Prabhu Devin J. McConnell Bing Wang D. Dey Derek Aguiar 31 0 0 19 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 39 16 0 19 Sep 2023