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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and
  Mitigating Unwanted Algorithmic Bias

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
    FaMLSyDa
ArXiv (abs)PDFHTMLGithub (2589★)

Papers citing "AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias"

50 / 393 papers shown
Title
Preserving Fairness in AI under Domain Shift
Preserving Fairness in AI under Domain ShiftJournal of Artificial Intelligence Research (JAIR), 2023
Serban Stan
Mohammad Rostami
145
6
0
29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness
  Interventions
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness InterventionsNeural Information Processing Systems (NeurIPS), 2023
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
251
21
0
27 Jan 2023
Against Algorithmic Exploitation of Human Vulnerabilities
Against Algorithmic Exploitation of Human Vulnerabilities
Inga Strümke
Marija Slavkovik
Clemens Stachl
134
2
0
12 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for
  Data Deluge
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
OODLM&MAFedML
134
2
0
23 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive ModelingProceedings of the VLDB Endowment (PVLDB), 2022
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
237
13
0
21 Dec 2022
Provable Fairness for Neural Network Models using Formal Verification
Provable Fairness for Neural Network Models using Formal Verification
Giorgian Borca-Tasciuc
Xingzhi Guo
Stanley Bak
Steven Skiena
186
7
0
16 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine
  Learning
Towards Understanding Fairness and its Composition in Ensemble Machine LearningInternational Conference on Software Engineering (ICSE), 2022
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaMLFedML
191
31
0
08 Dec 2022
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning
  Fairness?
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?
Khaled Badran
Pierre-Olivier Coté
Amanda Kolopanis
Rached Bouchoucha
Antonio Collante
D. Costa
Emad Shihab
Foutse Khomh
FaMLFedML
88
0
0
05 Dec 2022
Certifying Fairness of Probabilistic Circuits
Certifying Fairness of Probabilistic CircuitsAAAI Conference on Artificial Intelligence (AAAI), 2022
Nikil Selvam
Karen Ullrich
YooJung Choi
FaMLTPM
162
6
0
05 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Subgroup Robustness Grows On Trees: An Empirical Baseline InvestigationNeural Information Processing Systems (NeurIPS), 2022
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
265
25
0
23 Nov 2022
Fairness and bias correction in machine learning for depression
  prediction: results from four study populations
Fairness and bias correction in machine learning for depression prediction: results from four study populations
Vien Ngoc Dang
Anna Cascarano
Rosa H. Mulder
Charlotte A M Cecil
Maria A. Zuluaga
Jerónimo Hernández-González
Karim Lekadir
92
1
0
10 Nov 2022
Improving Fairness in Image Classification via Sketching
Improving Fairness in Image Classification via Sketching
Ruichen Yao
Ziteng Cui
Xiaoxiao Li
Lin Gu
210
18
0
31 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by
  Identifying Bias in Data
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data
B. Chaudhari
Akash Agarwal
Tanmoy Bhowmik
113
3
0
24 Oct 2022
FairGen: Fair Synthetic Data Generation
FairGen: Fair Synthetic Data Generation
B. Chaudhari
Himanshu Choudhary
Aakash Agarwal
Kamna Meena
Tanmoy Bhowmik
149
4
0
24 Oct 2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious
  Model Holder
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model HolderIEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Guowen Xu
Xingshuo Han
Gelei Deng
Tianwei Zhang
Shengmin Xu
Jianting Ning
Anjia Yang
Hongwei Li
141
4
0
16 Oct 2022
Navigating Ensemble Configurations for Algorithmic Fairness
Navigating Ensemble Configurations for Algorithmic Fairness
Michael Feffer
Martin Hirzel
Samuel C. Hoffman
Kiran Kate
Parikshit Ram
Avraham Shinnar
FedMLFaML
115
1
0
11 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment
fAux: Testing Individual Fairness via Gradient Alignment
Giuseppe Castiglione
Ga Wu
C. Srinivasa
Simon J. D. Prince
132
4
0
10 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts
FEAMOE: Fair, Explainable and Adaptive Mixture of ExpertsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Sanjay Kariyappa
Jette Henderson
Joydeep Ghosh
FedMLMoE
131
5
0
10 Oct 2022
Equitable Marketplace Mechanism Design
Equitable Marketplace Mechanism DesignInternational Conference on AI in Finance (ICAF), 2022
Kshama Dwarakanath
Svitlana Vyetrenko
T. Balch
174
1
0
22 Sep 2022
Fairness Reprogramming
Fairness ReprogrammingNeural Information Processing Systems (NeurIPS), 2022
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
615
42
0
21 Sep 2022
Mitigating Representation Bias in Action Recognition: Algorithms and
  Benchmarks
Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks
Haodong Duan
Yue Zhao
Kai-xiang Chen
Yu Xiong
Dahua Lin
88
8
0
20 Sep 2022
FairGBM: Gradient Boosting with Fairness Constraints
FairGBM: Gradient Boosting with Fairness ConstraintsInternational Conference on Learning Representations (ICLR), 2022
André F. Cruz
Catarina Belém
Sérgio Jesus
Joao Bravo
Pedro Saleiro
P. Bizarro
317
28
0
16 Sep 2022
iFlipper: Label Flipping for Individual Fairness
iFlipper: Label Flipping for Individual Fairness
Hantian Zhang
Ki Hyun Tae
Jaeyoung Park
Xu Chu
Steven Euijong Whang
225
12
0
15 Sep 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
200
10
0
14 Sep 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and
  the Fairness of Disease Risk Models on Population Subgroups
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population SubgroupsVisual .. (VISUAL), 2022
Bum Chul Kwon
U. Kartoun
S. Khurshid
Mikhail Yurochkin
Subha Maity
Deanna G. Brockman
A. Khera
P. Ellinor
S. Lubitz
Kenney Ng
144
12
0
14 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Fairness in Forecasting of Observations of Linear Dynamical SystemsJournal of Artificial Intelligence Research (JAIR), 2022
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
368
6
0
12 Sep 2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness,
  Accountability and Transparency Algorithms in Predictive Systems
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive SystemsJournal of Open Source Software (JOSS), 2020
Kacper Sokol
Alexander Hepburn
Rafael Poyiadzi
M. Clifford
Raúl Santos-Rodríguez
Peter A. Flach
161
31
0
08 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated
  Interactions
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions
Quan-Gen Zhou
Ramen Ghosh
Robert Shorten
Jakub Mareˇcek
277
4
0
03 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
AAML
147
16
0
02 Sep 2022
Fair mapping
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
194
0
0
01 Sep 2022
Pushing the limits of fairness impossibility: Who's the fairest of them
  all?
Pushing the limits of fairness impossibility: Who's the fairest of them all?Neural Information Processing Systems (NeurIPS), 2022
Brian Hsu
Rahul Mazumder
Preetam Nandy
Kinjal Basu
100
13
0
24 Aug 2022
Modelling the long-term fairness dynamics of data-driven targeted help
  on job seekers
Modelling the long-term fairness dynamics of data-driven targeted help on job seekersScientific Reports (Sci Rep), 2022
S. Scher
Simone Kopeinik
A. Trugler
Dominik Kowald
268
10
0
17 Aug 2022
Ex-Ante Assessment of Discrimination in Dataset
Ex-Ante Assessment of Discrimination in Dataset
Jonathan Vasquez Verdugo
Xavier Gitiaux
Huzefa Rangwala
154
0
0
16 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling
  Algorithmic Bias
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic BiasIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Bhavya Ghai
Klaus Mueller
164
50
0
10 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing MethodsMachine Learning in Health Care (MLHC), 2022
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
133
22
0
26 Jul 2022
Representational Ethical Model Calibration
Representational Ethical Model Calibrationnpj Digital Medicine (NDM), 2022
R. Carruthers
Isabel Straw
James K. Ruffle
Dan Herron
Amy Nelson
D. Bzdok
D. Fernández-Reyes
Geraint Rees
P. Nachev
216
8
0
25 Jul 2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of
  Label Bias
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
Yunyi Li
Maria De-Arteaga
M. Saar-Tsechansky
FaML
225
3
0
15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaMLAI4CE
333
235
0
14 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging
  Algorithmic Fairness and Imbalanced Learning
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced LearningDiscover Data (DD), 2022
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
FaML
157
30
0
13 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse
  Fairness Strategies
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
E. Small
Wei Shao
Zeliang Zhang
Peihan Liu
Jeffrey Chan
Kacper Sokol
Flora D. Salim
289
3
0
11 Jul 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven
  Decision-making Algorithms
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
Amanda Coston
Anna Kawakami
Haiyi Zhu
Kenneth Holstein
Hoda Heidari
173
46
0
30 Jun 2022
Visual Auditor: Interactive Visualization for Detection and
  Summarization of Model Biases
Visual Auditor: Interactive Visualization for Detection and Summarization of Model BiasesVisual .. (VISUAL), 2022
David Munechika
Zijie J. Wang
Jack Reidy
Josh Rubin
Krishna Gade
K. Kenthapadi
Duen Horng Chau
MLAU
149
22
0
25 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Input-agnostic Certified Group Fairness via Gaussian Parameter SmoothingInternational Conference on Machine Learning (ICML), 2022
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
184
15
0
22 Jun 2022
The Right Tool for the Job: Open-Source Auditing Tools in Machine
  Learning
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning
Cherie Poland
SyDa
95
5
0
20 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
Wael Alghamdi
Hsiang Hsu
Haewon Jeong
Hao Wang
P. Michalák
S. Asoodeh
Flavio du Pin Calmon
FaML
191
20
0
15 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered
  Artificial Intelligence User Interfaces to Investigate Fairness
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate FairnessInternational journal of human computer interactions (IJHCI), 2022
Yuri Nakao
Lorenzo Strappelli
Simone Stumpf
A. Naseer
D. Regoli
Giulia Del Gamba
120
36
0
01 Jun 2022
How Biased are Your Features?: Computing Fairness Influence Functions
  with Global Sensitivity Analysis
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity AnalysisConference on Fairness, Accountability and Transparency (FAccT), 2022
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
FaML
228
14
0
01 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and
  Optimizing the Fairness-Accuracy Pareto Frontier
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier
Camille Olivia Little
Michael Weylandt
Genevera I. Allen
175
18
0
31 May 2022
Fool SHAP with Stealthily Biased Sampling
Fool SHAP with Stealthily Biased Sampling
Gabriel Laberge
Ulrich Aïvodji
Satoshi Hara
M. Marchand
Foutse Khomh
MLAUAAMLFAtt
132
5
0
30 May 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
Debiasing Neural Retrieval via In-batch Balancing Regularization
Yuantong Li
Xiaokai Wei
Zijian Wang
Shen Wang
Parminder Bhatia
Xiaofei Ma
Andrew O. Arnold
78
4
0
18 May 2022
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