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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 / 394 papers shown
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Computer Science Review (CSR), 2020
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
584
185
0
14 Dec 2020
A Statistical Test for Probabilistic Fairness
Bahar Taşkesen
Jose H. Blanchet
Daniel Kuhn
Viet Anh Nguyen
FaML
258
47
0
09 Dec 2020
Mitigating Bias in Federated Learning
Annie Abay
Yi Zhou
Nathalie Baracaldo
Shashank Rajamoni
Ebube Chuba
Heiko Ludwig
AI4CE
194
110
0
04 Dec 2020
Fair Attribute Classification through Latent Space De-biasing
Computer Vision and Pattern Recognition (CVPR), 2020
V. V. Ramaswamy
Sunnie S. Y. Kim
Olga Russakovsky
461
180
0
02 Dec 2020
Towards Fairness in Classifying Medical Conversations into SOAP Sections
Elisa Ferracane
Sandeep Konam
FaML
82
6
0
02 Dec 2020
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
International Conference on Machine Learning (ICML), 2020
Alexander Soen
Hisham Husain
Richard Nock
FedML
442
3
0
01 Dec 2020
Uncovering the Bias in Facial Expressions
J. Deuschel
Bettina Finzel
Ines Rieger
CVBM
132
14
0
23 Nov 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness
Tong Wang
M. Saar-Tsechansky
290
11
0
17 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems
Cecilia Panigutti
Alan Perotti
Andre' Panisson
P. Bajardi
D. Pedreschi
194
73
0
08 Nov 2020
On the Privacy Risks of Algorithmic Fairness
Hong Chang
Reza Shokri
FaML
476
128
0
07 Nov 2020
Making ML models fairer through explanations: the case of LimeOut
International Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2020
Guilherme Alves
Vaishnavi Bhargava
Miguel Couceiro
A. Napoli
FaML
109
7
0
01 Nov 2020
Linear Classifiers that Encourage Constructive Adaptation
Yatong Chen
Jialu Wang
Yang Liu
367
18
0
31 Oct 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
339
144
0
30 Oct 2020
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
Kenji Kobayashi
Yuri Nakao
FaML
226
8
0
26 Oct 2020
Do's and Don'ts for Human and Digital Worker Integration
Vinod Muthusamy
Merve Unuvar
Hagen Volzer
Justin D. Weisz
120
3
0
15 Oct 2020
Explainability for fair machine learning
T. Begley
Tobias Schwedes
Christopher Frye
Ilya Feige
FaML
FedML
203
52
0
14 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data
Sanjay Kariyappa
Alan H. Gee
D. Paydarfar
Joydeep Ghosh
257
20
0
13 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
114
22
0
08 Oct 2020
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
538
803
0
04 Oct 2020
Towards a Measure of Individual Fairness for Deep Learning
Krystal Maughan
Joseph P. Near
TDI
FaML
166
6
0
28 Sep 2020
Legally grounded fairness objectives
Dylan Holden-Sim
Gavin Leech
Laurence Aitchison
AILaw
FaML
138
0
0
24 Sep 2020
Addressing Cognitive Biases in Augmented Business Decision Systems
Thomas Baudel
Manon Verbockhaven
Guillaume Roy
Victoire Cousergue
Rida Laarach
83
3
0
17 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
283
35
0
16 Sep 2020
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
AAAI Conference on Artificial Intelligence (AAAI), 2020
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
358
44
0
14 Sep 2020
Fair and accurate age prediction using distribution aware data curation and augmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Yushi Cao
David Berend
Palina Tolmach
Guy Amit
Mosh Levy
Yang Liu
A. Shabtai
Yuval Elovici
CVBM
256
9
0
11 Sep 2020
Learning Unbiased Representations via Rényi Minimization
Vincent Grari
Oualid El Hajouji
Sylvain Lamprier
Marcin Detyniecki
FaML
154
24
0
07 Sep 2020
Adversarial Learning for Counterfactual Fairness
Machine-mediated learning (ML), 2020
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
FaML
181
28
0
30 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications
Sriram Vasudevan
K. Kenthapadi
FaML
162
60
0
14 Aug 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen Pfohl
Agata Foryciarz
N. Shah
FaML
422
133
0
20 Jul 2020
Investigating Bias and Fairness in Facial Expression Recognition
Tian Xu
J. White
Sinan Kalkan
Hatice Gunes
CVBM
354
179
0
20 Jul 2020
Ensuring Fairness Beyond the Training Data
Neural Information Processing Systems (NeurIPS), 2020
Debmalya Mandal
Samuel Deng
Suman Jana
Jeannette M. Wing
Daniel J. Hsu
FaML
OOD
177
62
0
12 Jul 2020
Algorithmic Fairness in Education
René F. Kizilcec
Hansol Lee
FaML
287
163
0
10 Jul 2020
Towards Data-Driven Affirmative Action Policies under Uncertainty
Corinna Hertweck
Carlos Castillo
M. Mathioudakis
56
0
0
02 Jul 2020
Quality Management of Machine Learning Systems
P. Santhanam
123
19
0
16 Jun 2020
Causal intersectionality for fair ranking
Ke Yang
Joshua R. Loftus
Julia Stoyanovich
133
43
0
15 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani
Colin White
G. NaveenSundar
206
49
0
15 Jun 2020
Towards Integrating Fairness Transparently in Industrial Applications
Emily Dodwell
Cheryl J. Flynn
B. Krishnamurthy
Subhabrata Majumdar
Ritwik Mitra
141
0
0
10 Jun 2020
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
238
9
0
08 Jun 2020
Principles to Practices for Responsible AI: Closing the Gap
Daniel S. Schiff
B. Rakova
A. Ayesh
Anat Fanti
M. Lennon
203
108
0
08 Jun 2020
Personalized Chatbot Trustworthiness Ratings
Biplav Srivastava
F. Rossi
Sheema Usmani
Mariana Bernagozzi
105
26
0
13 May 2020
Ensuring Fairness under Prior Probability Shifts
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
Arpita Biswas
Suvam Mukherjee
OOD
163
36
0
06 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Graphics Interface (GI), 2020
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
158
8
0
26 Apr 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer
S. Akçay
Noura Al-Moubayed
T. Breckon
172
69
0
19 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
International Journal of Computer Vision (IJCV), 2020
Angelina Wang
Alexander Liu
Ryan Zhang
Anat Kleiman
Leslie Kim
Dora Zhao
Iroha Shirai
Arvind Narayanan
Olga Russakovsky
314
211
0
16 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offs
International Conference on Machine Learning (ICML), 2020
Joon Sik Kim
Jiahao Chen
Ameet Talwalkar
FaML
201
15
0
07 Apr 2020
Foundations of Explainable Knowledge-Enabled Systems
Shruthi Chari
Daniel Gruen
Oshani Seneviratne
D. McGuinness
181
30
0
17 Mar 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
133
14
0
13 Mar 2020
Auditing ML Models for Individual Bias and Unfairness
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
MLAU
166
29
0
11 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan
Srinivas Parkala
Neeraj R Singh
Sumit Bhatia
Gayatri Mishra
Matheen Ahmed Pasha
Hima Patel
Somashekar Naganna
AI4CE
131
11
0
07 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
IEEE Transactions on Technology and Society (IEEE TTS), 2020
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
408
230
0
05 Mar 2020
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