A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,615 papers shown

Title
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification Yuxin Xiao S. Lim Tom Pollard Marzyeh Ghassemi 34 13 0 18 May 2023
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model Chantal Amrhein Florian Schottmann Rico Sennrich Samuel Läubli 33 17 0 18 May 2023
Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI Luhang Sun Mian Wei Yibing Sun Yoo Ji Suh Liwei Shen Sijia Yang 11 52 0 17 May 2023
Echoes of Biases: How Stigmatizing Language Affects AI Performance Yizhi Liu Weiguang Wang G. Gao Ritu Agarwal 28 2 0 17 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 43 8 0 17 May 2023
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps Isel Grau Gonzalo Nápoles Fabian Hoitsma Lisa Koutsoviti Koumeri K. Vanhoof FAtt 25 0 0 16 May 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation Bjørnar Vassøy H. Langseth FaML 42 5 0 16 May 2023
Private Training Set Inspection in MLaaS Mingxue Xu Tongtong Xu Po-Yu Chen 19 0 0 15 May 2023
Disproving XAI Myths with Formal Methods -- Initial Results Sasha Rubin 50 8 0 13 May 2023
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions Gokul Yenduri M. Ramalingam G. C. Selvi Y. Supriya Gautam Srivastava ... Rutvij H. Jhaveri B. Prabadevi Weizheng Wang Athanasios V. Vasilakos Thippa Reddy Gadekallu AI4CE LM&MA 33 169 0 11 May 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 26 3 0 11 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 37 32 0 11 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models Lukávs Mikula Michal vStefánik Marek Petrovivc Petr Sojka 46 3 0 11 May 2023
Towards a Better Understanding of the Computer Vision Research Community in Africa Abdul-Hakeem Omotayo Mai Gamal E. Ehab G. Dovonon Zainab Akinjobi ... Abigail Oppong Yvan Pimi Karim Gamal Roýa-CV4Africa Mennatullah Siam 33 4 0 11 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 55 23 0 10 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 40 12 0 10 May 2023
Towards unraveling calibration biases in medical image analysis María Agustina Ricci Lara Candelaria Mosquera Enzo Ferrante Rodrigo Echeveste 45 9 0 09 May 2023
Runtime Monitoring of Dynamic Fairness Properties T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik 40 14 0 08 May 2023
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries Jason Kim Daniel Genkin Kevin Leach 27 2 0 06 May 2023
Piecewise Normalizing Flows H. Bevins Will Handley Thomas Gessey-Jones 32 0 0 04 May 2023
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews Brandon M. Booth Louis Hickman Shree Krishna Subburaj Louis Tay S. E. Woo S. D’Mello FaML 48 19 0 04 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 32 2 0 04 May 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling M. Scutari FaML 42 5 0 03 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation Natalia Díaz Rodríguez Javier Del Ser Mark Coeckelbergh Marcos López de Prado E. Herrera-Viedma Francisco Herrera XAI 29 273 0 02 May 2023
Human adaptation to adaptive machines converges to game-theoretic equilibria Benjamin J. Chasnov Lillian J. Ratliff Samuel A. Burden 19 3 0 01 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning Zifeng Wang Zheng Zhan Yifan Gong Yucai Shao Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 60 11 0 30 Apr 2023
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration I. Papantonis Vaishak Belle 19 0 0 27 Apr 2023
Proportionally Representative Clustering Haris Aziz Barton E. Lee S. Chu Jeremy Vollen FaML 81 5 0 27 Apr 2023
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma Daniel DeAlcala Ignacio Serna Aythami Morales Julian Fierrez J. Ortega-Garcia 31 6 0 26 Apr 2023
Towards clinical AI fairness: A translational perspective Mingxuan Liu Yilin Ning Salinelat Teixayavong M. Mertens Jie Xu ... Ravi Chandran Narrendar Fei Wang Leo Anthony Celi M. Ong Nan Liu FaML 34 0 0 26 Apr 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images Zeyu Lu Di Huang Lei Bai Jingjing Qu Chengzhi Wu Xihui Liu Wanli Ouyang 26 53 0 25 Apr 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness Héber H. Arcolezi K. Makhlouf C. Palamidessi 47 6 0 25 Apr 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures Eugenia Iofinova Alexandra Peste Dan Alistarh 33 9 0 25 Apr 2023
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis Simone Lazier Saravanan Thirumuruganathan Hadis Anahideh 36 3 0 25 Apr 2023
ExCalibR: Expected Calibration of Recommendations Pannagadatta K. Shivaswamy 24 0 0 24 Apr 2023
Individual Fairness in Bayesian Neural Networks Alice Doherty Matthew Wicker Luca Laurenti A. Patané 34 5 0 21 Apr 2023
On the Independence of Association Bias and Empirical Fairness in Language Models Laura Cabello Anna Katrine van Zee Anders Søgaard 31 26 0 20 Apr 2023
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness Andrea Aler Tubella Dimitri Coelho Mollo Adam Dahlgren Lindstrom Hannah Devinney Virginia Dignum ... Anna Jonsson T. Kampik Tom Lenaerts Julian Alfredo Mendez J. Nieves 36 8 0 19 Apr 2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness Edward A. Small Kacper Sokol Daniel Manning Flora D. Salim Jeffrey Chan FaML 34 6 0 19 Apr 2023
Quantifying the Benefit of Artificial Intelligence for Scientific Research Jian Gao Dashun Wang 32 6 0 17 Apr 2023
Fairness in AI and Its Long-Term Implications on Society Ondrej Bohdal Timothy M. Hospedales Philip Torr Fazl Barez 20 4 0 16 Apr 2023
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 27 0 0 14 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 37 4 0 13 Apr 2023
Maximal Fairness Marybeth Defrance Tijl De Bie 28 9 0 12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 75 142 0 11 Apr 2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness Francesco Di Carlo Nazanin Nezami Hadis Anahideh Abolfazl Asudeh 22 1 0 10 Apr 2023
Analysing Fairness of Privacy-Utility Mobility Models Yuting Zhan Hamed Haddadi A. Mashhadi 34 0 0 10 Apr 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 37 0 0 10 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 36 5 0 08 Apr 2023