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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"
44 / 394 papers shown
Evidence-based explanation to promote fairness in AI systems
J. Ferreira
Mateus de Souza Monteiro
FaML
105
5
0
03 Mar 2020
Detection and Mitigation of Bias in Ted Talk Ratings
Rupam Acharyya
Shouman Das
Ankani Chattoraj
Oishani Sengupta
Md Iftekar Tanveer
CML
127
3
0
02 Mar 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
International Conference on Machine Learning (ICML), 2020
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
283
86
0
24 Feb 2020
Data Augmentation for Personal Knowledge Base Population
Lingraj S. Vannur
Balaji Ganesan
Lokesh Nagalapatti
Hima Patel
MN Thippeswamy
181
5
0
23 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
Yunfeng Zhang
Rachel K. E. Bellamy
Kush R. Varshney
138
39
0
05 Feb 2020
A Framework for Democratizing AI
Shakkeel Ahmed
Ravi Mula
S. Dhavala
105
10
0
01 Jan 2020
Fairness Assessment for Artificial Intelligence in Financial Industry
Yukun Zhang
Longsheng Zhou
62
16
0
16 Dec 2019
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers
International Conference on Artificial Intelligence Testing (ICAIT), 2019
Colin Paterson
R. Calinescu
Chiara Picardi
211
4
0
28 Nov 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
International Conference on Extending Database Technology (EDBT), 2019
Sebastian Schelter
Yuxuan He
Jatin Khilnani
Julia Stoyanovich
107
62
0
28 Nov 2019
FairyTED: A Fair Rating Predictor for TED Talk Data
AAAI Conference on Artificial Intelligence (AAAI), 2019
Rupam Acharyya
Shouman Das
Ankani Chattoraj
Md. Iftekhar Tanveer
122
12
0
25 Nov 2019
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM
Expert systems with applications (ESWA), 2019
A. Barbado
Óscar Corcho
Richard Benjamins
230
64
0
21 Nov 2019
Fair Data Adaptation with Quantile Preservation
Drago Plečko
N. Meinshausen
158
35
0
15 Nov 2019
Fair Adversarial Gradient Tree Boosting
Industrial Conference on Data Mining (IDM), 2019
Vincent Grari
Boris Ruf
Sylvain Lamprier
Marcin Detyniecki
FaML
192
36
0
13 Nov 2019
Fairness-Aware Neural Réyni Minimization for Continuous Features
Vincent Grari
Boris Ruf
Sylvain Lamprier
Marcin Detyniecki
136
30
0
12 Nov 2019
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
R. Bryant
C. Cintas
Isaac Wambugu
Andrew Kinai
Komminist Weldemariam
80
5
0
09 Nov 2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity
Agathe Balayn
A. Bozzon
ELM
89
4
0
06 Nov 2019
Unfairness towards subjective opinions in Machine Learning
Agathe Balayn
A. Bozzon
Zoltán Szlávik
FaML
108
1
0
06 Nov 2019
Understanding racial bias in health using the Medical Expenditure Panel Survey data
Moninder Singh
Karthikeyan N. Ramamurthy
89
7
0
04 Nov 2019
Does Gender Matter? Towards Fairness in Dialogue Systems
International Conference on Computational Linguistics (COLING), 2019
Haochen Liu
Jamell Dacon
Wenqi Fan
Hui Liu
Zitao Liu
Shucheng Zhou
234
151
0
16 Oct 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency
Kacper Sokol
Raúl Santos-Rodríguez
Peter A. Flach
166
41
0
11 Sep 2019
Pretrained AI Models: Performativity, Mobility, and Change
Lav Varshney
N. Keskar
R. Socher
93
22
0
07 Sep 2019
Approaching Machine Learning Fairness through Adversarial Network
Xiaoqian Wang
Heng-Chiao Huang
FaML
95
8
0
06 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness
Arpita Biswas
Siddharth Barman
Amit Deshpande
Amit Sharma
82
3
0
03 Sep 2019
Fairness in Deep Learning: A Computational Perspective
IEEE Intelligent Systems (IEEE Intell. Syst.), 2019
Mengnan Du
Fan Yang
Na Zou
Helen Zhou
FaML
FedML
194
256
0
23 Aug 2019
A Survey on Bias and Fairness in Machine Learning
ACM Computing Surveys (ACM CSUR), 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
1.7K
5,274
0
23 Aug 2019
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning
Yair Horesh
N. Haas
Elhanan Mishraky
Yehezkel S. Resheff
Shir Meir Lador
FaML
176
9
0
07 Aug 2019
The What-If Tool: Interactive Probing of Machine Learning Models
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
James Wexler
Mahima Pushkarna
Tolga Bolukbasi
Martin Wattenberg
F. Viégas
Jimbo Wilson
VLM
234
549
0
09 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness
International Conference on Learning Representations (ICLR), 2019
Mikhail Yurochkin
Amanda Bower
Yuekai Sun
FaML
OOD
245
122
0
28 Jun 2019
FlipTest: Fairness Testing via Optimal Transport
Emily Black
Samuel Yeom
Matt Fredrikson
334
100
0
21 Jun 2019
Adversarial training approach for local data debiasing
Ulrich Aïvodji
F. Bidet
Sébastien Gambs
Rosin Claude Ngueveu
Alain Tapp
190
10
0
19 Jun 2019
Balanced Ranking with Diversity Constraints
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Ke Yang
Vasilis Gkatzelis
Julia Stoyanovich
89
72
0
04 Jun 2019
Optimized Score Transformation for Consistent Fair Classification
Journal of machine learning research (JMLR), 2019
Dennis L. Wei
Karthikeyan N. Ramamurthy
Flavio du Pin Calmon
207
18
0
31 May 2019
Fairness and Missing Values
Fernando Martínez-Plumed
Cesar Ferri
David Nieves
José Hernández-Orallo
155
32
0
29 May 2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty
Tianpei Xia
F. M. Fahid
Tim Menzies
FaML
211
42
0
14 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
ACM Computing Surveys (ACM CSUR), 2019
Rob Ashmore
R. Calinescu
Colin Paterson
AI4TS
227
132
0
10 May 2019
Estimating Kullback-Leibler Divergence Using Kernel Machines
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2019
Kartik Ahuja
153
13
0
02 May 2019
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach
Ki Hyun Tae
Yuji Roh
Young H. Oh
Hyunsub Kim
Steven Euijong Whang
124
77
0
22 Apr 2019
Fairness for Robust Log Loss Classification
Ashkan Rezaei
Rizal Fathony
Omid Memarrast
Brian Ziebart
FaML
184
8
0
10 Mar 2019
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
388
71
0
21 Feb 2019
Fairwashing: the risk of rationalization
Ulrich Aïvodji
Hiromi Arai
O. Fortineau
Sébastien Gambs
Satoshi Hara
Alain Tapp
FaML
203
171
0
28 Jan 2019
Faking Fairness via Stealthily Biased Sampling
Kazuto Fukuchi
Satoshi Hara
Takanori Maehara
MLAU
147
20
0
24 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness
P. Lohia
Karthikeyan N. Ramamurthy
M. Bhide
Diptikalyan Saha
Kush R. Varshney
Ruchir Puri
FaML
160
185
0
14 Dec 2018
AI Fairness for People with Disabilities: Point of View
Shari Trewin
101
82
0
26 Nov 2018
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
308
380
0
14 Nov 2018
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