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1810.01943
Cited By
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
3 October 2018
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
Kalapriya Kannan
P. Lohia
Jacquelyn Martino
S. Mehta
Aleksandra Mojsilović
Seema Nagar
Karthikeyan N. Ramamurthy
John T. Richards
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
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Papers citing
"AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias"
50 / 393 papers shown
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xuran Li
Peng Wu
Jing Su
FaML
187
24
0
18 May 2022
De-biasing "bias" measurement
Conference on Fairness, Accountability and Transparency (FAccT), 2022
K. Lum
Yunfeng Zhang
Amanda Bower
249
32
0
11 May 2022
Bias and Fairness on Multimodal Emotion Detection Algorithms
Matheus Schmitz
Rehan Ahmed
Jim Cao
FaML
265
14
0
11 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
270
14
0
10 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Angelina Wang
V. V. Ramaswamy
Olga Russakovsky
FaML
187
111
0
10 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Ruibing Jin
Alvin Chan
Xiaoli Li
Yew-Soon Ong
174
10
0
08 May 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
Xudong Han
Aili Shen
Yitong Li
Lea Frermann
Timothy Baldwin
Trevor Cohn
VLM
FaML
172
12
0
04 May 2022
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz
Joachim Sicking
Maximilian Poretschkin
Maram Akila
ELM
269
7
0
02 May 2022
Fair Feature Subset Selection using Multiobjective Genetic Algorithm
A. Rehman
Anas Nadeem
Muhammad Zubair Malik
FaML
94
12
0
30 Apr 2022
Recommendations on test datasets for evaluating AI solutions in pathology
Modern Pathology (Mod Pathol), 2022
A. Homeyer
Christian Geißler
L. O. Schwen
Falk Zakrzewski
Theodore Evans
...
Tobias Lang
P. Boor
Heimo Muller
P. Hufnagl
N. Zerbe
226
51
0
21 Apr 2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
198
14
0
20 Apr 2022
Marrying Fairness and Explainability in Supervised Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Przemyslaw A. Grabowicz
Nicholas Perello
Aarshee Mishra
FaML
278
52
0
06 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Tianbao Yang
Yiming Ying
463
261
0
28 Mar 2022
Downstream Fairness Caveats with Synthetic Healthcare Data
Karan Bhanot
Ioana Baldini
Dennis L. Wei
J. Zeng
Kristin P. Bennett
SyDa
157
2
0
09 Mar 2022
A Fair Pricing Model via Adversarial Learning
Vincent Grari
Arthur Charpentier
Marcin Detyniecki
293
16
0
24 Feb 2022
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals
AI and Ethics (AE), 2022
Thilo Hagendorff
L. Bossert
Yip Fai Tse
P. Singer
FaML
211
55
0
22 Feb 2022
Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness
Kanak Tekwani
Manojkumar Somabhai Parmar
AAML
ELM
86
0
0
18 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Yan Lyu
Hangxin Lu
Min Kyung Lee
G. Schmitt
Brian Y. Lim
134
20
0
15 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification
P. Lohia
176
3
0
08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
International Conference on Information and Knowledge Management (CIKM), 2022
Bhavya Ghai
Mihir A. Mishra
Klaus Mueller
159
10
0
08 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles
Michael Feffer
Martin Hirzel
Samuel C. Hoffman
Kiran Kate
Parikshit Ram
Avraham Shinnar
121
8
0
01 Feb 2022
Fair Wrapping for Black-box Predictions
Neural Information Processing Systems (NeurIPS), 2022
Alexander Soen
Ibrahim Alabdulmohsin
Sanmi Koyejo
Yishay Mansour
Nyalleng Moorosi
Richard Nock
Ke Sun
Lexing Xie
FaML
315
8
0
31 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes
Web Search and Data Mining (WSDM), 2022
Haonan Wang
Ziwei Wu
Jingrui He
167
17
0
15 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences
Alycia N. Carey
Xintao Wu
FaML
146
7
0
13 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
AI and Ethics (AE), 2022
Avinash Agarwal
Harshna Agarwal
Nihaarika Agarwal
307
33
0
10 Jan 2022
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
International Conference on Software Engineering (ICSE), 2021
Haibin Zheng
Zhiqing Chen
Tianyu Du
Xuhong Zhang
Yao Cheng
S. Ji
Jingyi Wang
Yue Yu
Jinyin Chen
141
69
0
25 Dec 2021
Forward Composition Propagation for Explainable Neural Reasoning
IEEE Computational Intelligence Magazine (IEEE CIM), 2021
Isel Grau
Gonzalo Nápoles
M. Bello
Yamisleydi Salgueiro
A. Jastrzębska
168
2
0
23 Dec 2021
Modeling Implicit Bias with Fuzzy Cognitive Maps
Gonzalo Nápoles
Isel Grau
Leonardo Concepción
Lisa Koutsoviti Koumeri
João Paulo Papa
243
31
0
23 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson
David M. Douglas
Qinghua Lu
Emma Schleiger
Jon Whittle
J. Lacey
G. Newnham
S. Hajkowicz
Cathy J. Robinson
David Hansen
FaML
410
68
0
14 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Brianna Richardson
J. Gilbert
FaML
172
48
0
10 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg
Torben Teepe
Fabian Herzog
Gerhard Rigoll
ObjD
195
6
0
03 Dec 2021
Learning Fair Classifiers with Partially Annotated Group Labels
Computer Vision and Pattern Recognition (CVPR), 2021
Sangwon Jung
Sanghyuk Chun
Taesup Moon
266
50
0
29 Nov 2021
Fair-SSL: Building fair ML Software with less data
Joymallya Chakraborty
Suvodeep Majumder
Huy Tu
SyDa
209
8
0
03 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang
251
6
0
01 Nov 2021
Profit equitably: An investigation of market maker's impact on equitable outcomes
International Conference on AI in Finance (ICAF), 2021
Kshama Dwarakanath
Svitlana Vyetrenko
T. Balch
135
3
0
29 Oct 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
British Machine Vision Conference (BMVC), 2021
Arvindkumar Krishnakumar
Tong He
Shengji Tang
Judy Hoffman
152
34
0
29 Oct 2021
Selective Regression Under Fairness Criteria
International Conference on Machine Learning (ICML), 2021
Abhin Shah
Yuheng Bu
Joshua K. Lee
Subhro Das
Yikang Shen
P. Sattigeri
G. Wornell
275
31
0
28 Oct 2021
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias
William Thong
Cees G. M. Snoek
148
16
0
27 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Suvodeep Majumder
Joymallya Chakraborty
Gina R. Bai
Kathryn T. Stolee
Tim Menzies
184
37
0
25 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing
Drago Plečko
Nicolas Bennett
N. Meinshausen
FaML
79
16
0
19 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair
Ashutosh Kumar Singh
Jashandeep Singh
Ariba Khan
Amar Gupta
FaML
113
4
0
17 Oct 2021
Systematic Inequalities in Language Technology Performance across the World's Languages
Damián E. Blasi
Antonios Anastasopoulos
Graham Neubig
339
157
0
13 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
International Conference on Learning Representations (ICLR), 2021
Zhaowei Zhu
Tianyi Luo
Yang Liu
534
42
0
12 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
471
520
0
04 Oct 2021
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes
Kewen Peng
Joymallya Chakraborty
Tim Menzies
FaML
249
37
0
03 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh
Gevorg Ghalachyan
Kush R. Varshney
R. Bryant
104
10
0
29 Sep 2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Jianlong Zhou
Sunny Verma
Mudit Mittal
Fang Chen
FaML
103
17
0
29 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Transportation Research Part C: Emerging Technologies (TRC), 2021
Yunhan Zheng
Shenhao Wang
Jinhuan Zhao
HAI
149
37
0
25 Sep 2021
On the Fairness of Swarm Learning in Skin Lesion Classification
Dian Fan
Yifan Wu
Xiaoxiao Li
152
21
0
24 Sep 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Haewon Jeong
Hao Wang
Flavio du Pin Calmon
FaML
213
45
0
21 Sep 2021
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