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
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah L. Akoglu 29 36 0 05 Dec 2020
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century L. Stacchio Alessia Angeli G. Lisanti Daniela Calanca Gustavo Marfia 23 2 0 03 Dec 2020
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis Michael A. Lepori 32 12 0 24 Nov 2020
Uncovering the Bias in Facial Expressions J. Deuschel Bettina Finzel Ines Rieger CVBM 11 13 0 23 Nov 2020
Learning Canonical Transformations Zachary Dulberg J. Cohen 27 1 0 17 Nov 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 15 11 0 17 Nov 2020
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies S. Coghlan Tim Miller J. Paterson ELM 11 31 0 15 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 14 247 0 15 Nov 2020
Metric-Free Individual Fairness with Cooperative Contextual Bandits Qian Hu Huzefa Rangwala FaML 19 10 0 13 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 12 9 0 10 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 11 18 0 04 Nov 2020
Trustworthy AI Richa Singh Mayank Vatsa N. Ratha 10 4 0 02 Nov 2020
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction Gourab K. Patro Abhijnan Chakraborty Niloy Ganguly Krishna P. Gummadi 10 1 0 24 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 27 5 0 24 Oct 2020
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals Aida Mostafazadeh Davani Ali Omrani Brendan Kennedy M. Atari Xiang Ren Morteza Dehghani 24 7 0 24 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data Shubham Sharma Alan H. Gee D. Paydarfar Joydeep Ghosh 24 18 0 13 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 13 56 0 12 Oct 2020
Robust Fairness under Covariate Shift Ashkan Rezaei Anqi Liu Omid Memarrast Brian D. Ziebart TTA OOD 6 83 0 11 Oct 2020
CryptoCredit: Securely Training Fair Models Leo de Castro Jiahao Chen Antigoni Polychroniadou 30 3 0 09 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 14 138 0 08 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 25 21 0 08 Oct 2020
Assessing Classifier Fairness with Collider Bias Zhenlong Xu Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Adelaide Canada Ziqi Xu Zhenlong Xu contributed equally to this paper CML FaML 12 4 0 08 Oct 2020
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs Haiyang Zhang Alison Sneyd Mark Stevenson 17 14 0 06 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 19 614 0 04 Oct 2020
Towards a Measure of Individual Fairness for Deep Learning Krystal Maughan Joseph P. Near TDI FaML 13 5 0 28 Sep 2020
AI Progress in Skin Lesion Analysis Philippe Burlina William Paul P. Mathew Neil J. Joshi Alison W. Rebman J. Aucott 13 0 0 28 Sep 2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning Haochen Liu Wentao Wang Yiqi Wang Hui Liu Zitao Liu Jiliang Tang 6 71 0 28 Sep 2020
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups Anoop Krishnan Ali Almadan A. Rattani FaML 12 50 0 24 Sep 2020
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition Tomás Sixta Julio C. S. Jacques Junior Pau Buch-Cardona Neil M. Robertson E. Vazquez Sergio Escalera CVBM 17 34 0 16 Sep 2020
Justicia: A Stochastic SAT Approach to Formally Verify Fairness Bishwamittra Ghosh D. Basu Kuldeep S. Meel 11 36 0 14 Sep 2020
Fair and accurate age prediction using distribution aware data curation and augmentation Yushi Cao David Berend Palina Tolmach Guy Amit Mosh Levy Yang Liu A. Shabtai Yuval Elovici CVBM 12 8 0 11 Sep 2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy Tom Farrand Fatemehsadat Mireshghallah Sahib Singh Andrew Trask FedML 6 88 0 10 Sep 2020
A Framework for Fairer Machine Learning in Organizations Lily Morse M. Teodorescu Yazeed Awwad Gerald C. Kane FaML FedML 14 5 0 10 Sep 2020
Deep learning for gravitational-wave data analysis: A resampling white-box approach M. Morales J. Antelis Claudia Moreno A. Nesterov 11 10 0 09 Sep 2020
HyperFair: A Soft Approach to Integrating Fairness Criteria Charles Dickens Rishika Singh Lise Getoor 25 4 0 05 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 11 239 0 03 Sep 2020
Self-driving car safety quantification via component-level analysis Juozas Vaicenavicius Tilo Wiklund Aust.e Grigaite Antanas Kalkauskas Ignas Vysniauskas Steven D. Keen 8 13 0 02 Sep 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 16 6 0 17 Aug 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 14 67 0 15 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 23 125 0 05 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 28 65 0 04 Aug 2020
A minimax framework for quantifying risk-fairness trade-off in regression Evgenii Chzhen Nicolas Schreuder FaML 28 31 0 28 Jul 2020
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Yi Zhang Jitao Sang 12 55 0 27 Jul 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 37 27 0 19 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 18 61 0 18 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 23 17 0 17 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 37 178 0 16 Jul 2020
The Impossibility Theorem of Machine Fairness -- A Causal Perspective Kailash Karthik FaML 15 23 0 12 Jul 2020
A Causal Linear Model to Quantify Edge Flow and Edge Unfairness for UnfairEdge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 14 1 0 10 Jul 2020
Learning from Failure: Training Debiased Classifier from Biased Classifier J. Nam Hyuntak Cha Sungsoo Ahn Jaeho Lee Jinwoo Shin 6 144 0 06 Jul 2020