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

Title
Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 219 24 0 20 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 157 1 0 13 Sep 2021
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion Mohammad Arif Ul Alam 64 8 0 11 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision MakingSwiss Conference on Data Science (SDS), 2021 Corinna Hertweck Christoph Heitz FaML 86 3 0 09 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesConference on Fairness, Accountability and Transparency (FAccT), 2021 Alan Mishler Edward H. Kennedy FaML 175 24 0 01 Sep 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 157 18 0 20 Aug 2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 176 50 0 12 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information MinimizationIEEE International Conference on Computer Vision (ICCV), 2021 Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 290 48 0 11 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 337 105 0 06 Aug 2021
Fairness in Algorithmic Profiling: A German Case Study Christoph Kern Ruben L. Bach H. Mautner Frauke Kreuter 124 18 0 04 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021 Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 249 35 0 20 Jul 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processingIEEE Transactions on Software Engineering (TSE), 2021 Zhe Yu Joymallya Chakraborty Tim Menzies FaML 355 6 0 17 Jul 2021
DiRe Committee : Diversity and Representation Constraints in Multiwinner ElectionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Kunal Relia 191 8 0 15 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Shucheng Zhou FaML 384 254 0 12 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization Qing Guo Junya Chen Dong Wang Yuewei Yang Xinwei Deng Lawrence Carin Fan Li Jing-Zheng Huang Chenyang Tao 283 24 0 02 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 255 85 0 23 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 279 159 0 16 Jun 2021
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI Kiana Alikhademi Brianna Richardson E. Drobina J. Gilbert 150 41 0 14 Jun 2021
FairCanary: Rapid Continuous Explainable FairnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Avijit Ghosh Aalok Shanbhag Christo Wilson 274 23 0 13 Jun 2021
Fair Classification with Adversarial PerturbationsNeural Information Processing Systems (NeurIPS), 2021 L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 229 33 0 10 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 147 3 0 03 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 410 138 0 02 Jun 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning Mary Roszel Robert Norvill Jean Hilger R. State 185 8 0 31 May 2021
Demographic Fairness in Biometric Systems: What do the Experts say?IEEE technology & society magazine (TS), 2021 Christian Rathgeb P. Drozdowski Naser Damer Dinusha Frings Christoph Busch FaML 204 26 0 31 May 2021
Fair Feature Distillation for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 S. Jung Donggyu Lee Taeeon Park Taesup Moon 198 87 0 27 May 2021
Bias in Machine Learning Software: Why? How? What to do? Joymallya Chakraborty Suvodeep Majumder Tim Menzies FaML 188 233 0 25 May 2021
Improving Fairness of AI Systems with Lossless De-biasing Yan Zhou Murat Kantarcioglu Chris Clifton 94 12 0 10 May 2021
Transitioning from Real to Synthetic data: Quantifying the bias in model Aman Gupta Deepak L. Bhatt Anubha Pandey 134 19 0 10 May 2021
When Fair Ranking Meets Uncertain InferenceAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 Avijit Ghosh Ritam Dutt Christo Wilson 237 50 0 05 May 2021
Question-Driven Design Process for Explainable AI User Experiences Q. V. Liao Milena Pribić Jaesik Han Sarah Miller Daby M. Sow 310 63 0 08 Apr 2021
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning Tal Feldman Ashley Peake FaML 227 19 0 06 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And MitigationThe R Journal (R Journal), 2021 Jakub Wi'sniewski P. Biecek 181 21 0 01 Apr 2021
Individually Fair Gradient BoostingInternational Conference on Learning Representations (ICLR), 2021 Alexander Vargo Fan Zhang Mikhail Yurochkin Yuekai Sun FaML FedML 164 16 0 31 Mar 2021
Statistical inference for individual fairnessInternational Conference on Learning Representations (ICLR), 2021 Subha Maity Songkai Xue Mikhail Yurochkin Yuekai Sun FaML 140 21 0 30 Mar 2021
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Niklas Friedrich Anne Lauscher Simone Paolo Ponzetto Goran Glavaš 140 7 0 11 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 225 29 0 10 Mar 2021
Estimating and Improving Fairness with Adversarial Learning Xiaoxiao Li Ziteng Cui Yifan Wu Li Gu Tatsuya Harada MedIm 170 46 0 07 Mar 2021
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance SystemsWorkshop on Ethics in Software Engineering Research and Practice (ESERP), 2021 Markus Borg Joshua Bronson Linus Christensson Fredrik Olsson Olof Lennartsson Elias Sonnsjö Hamid Ebabi Martin Karsberg 124 15 0 04 Mar 2021
CLAIMED, a visual and scalable component library for Trusted AI Romeo Kienzler I. Nesic 85 1 0 04 Mar 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 163 31 0 12 Feb 2021
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks Marlotte Pannekoek G. Spigler FedML 127 26 0 11 Feb 2021
Statistically Profiling Biases in Natural Language Reasoning Datasets and ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Shanshan Huang Kenny Q. Zhu 101 1 0 09 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 212 28 0 05 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 108 19 0 03 Feb 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 400 5 0 30 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and ChallengesJournal of Artificial Intelligence Research (JAIR), 2021 Lu Cheng Kush R. Varshney Huan Liu FaML 485 189 0 01 Jan 2021
A Maximal Correlation Approach to Imposing Fairness in Machine LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Joshua K. Lee Yuheng Bu P. Sattigeri Yikang Shen G. Wornell Leonid Karlinsky Rogerio Feris FaML 119 17 0 30 Dec 2020
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonJournal of machine learning research (JMLR), 2020 Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 258 123 0 28 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 202 21 0 17 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical ChallengesComputer Science Review (CSR), 2020 Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 556 184 0 14 Dec 2020

Algorithmic Fairness Verification with Graphical Models

219

24

0

20 Sep 2021

Finding Representative Group Fairness Metrics Using Correlation Estimations

Hadis Anahideh

Nazanin Nezami

Abolfazl Asudeh

157

1

0

13 Sep 2021

College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion

Mohammad Arif Ul Alam

64

8

0

11 Sep 2021

A Systematic Approach to Group Fairness in Automated Decision MakingSwiss Conference on Data Science (SDS), 2021

Corinna Hertweck

Christoph Heitz

FaML

86

3

0

09 Sep 2021

FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesConference on Fairness, Accountability and Transparency (FAccT), 2021

Alan Mishler

Edward H. Kennedy

FaML

175

24

0

01 Sep 2021

A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets

Gonzalo Nápoles

Lisa Koutsoviti Koumeri

157

18

0

20 Aug 2021

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

...

176

50

0

12 Aug 2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information MinimizationIEEE International Conference on Computer Vision (ICCV), 2021

290

48

0

11 Aug 2021

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Kenny Peng

Arunesh Mathur

Arvind Narayanan

337

105

0

06 Aug 2021

Fairness in Algorithmic Profiling: A German Case Study

124

18

0

04 Aug 2021

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021

...

249

35

0

20 Jul 2021

FairBalance: How to Achieve Equalized Odds With Data Pre-processingIEEE Transactions on Software Engineering (TSE), 2021

Zhe Yu

Joymallya Chakraborty

Tim Menzies

FaML

355

6

0

17 Jul 2021

DiRe Committee : Diversity and Representation Constraints in Multiwinner ElectionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021

Kunal Relia

191

8

0

15 Jul 2021

Trustworthy AI: A Computational Perspective

Xiaorui Liu

384

254

0

12 Jul 2021

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Dong Wang

Lawrence Carin

283

24

0

02 Jul 2021

Fairness via Representation Neutralization

Ahmed Hassan Awadallah

Helen Zhou

255

85

0

23 Jun 2021

Understanding and Evaluating Racial Biases in Image Captioning

Dora Zhao

Angelina Wang

Olga Russakovsky

279

159

0

16 Jun 2021

Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

150

41

0

14 Jun 2021

FairCanary: Rapid Continuous Explainable FairnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021

Avijit Ghosh

Aalok Shanbhag

Christo Wilson

274

23

0

13 Jun 2021

Fair Classification with Adversarial PerturbationsNeural Information Processing Systems (NeurIPS), 2021

229

33

0

10 Jun 2021

Fair Machine Learning under Limited Demographically Labeled Data

147

3

0

03 Jun 2021

Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline

Sumon Biswas

Hridesh Rajan

410

138

0

02 Jun 2021

Know Your Model (KYM): Increasing Trust in AI and Machine Learning

185

8

0

31 May 2021

Demographic Fairness in Biometric Systems: What do the Experts say?IEEE technology & society magazine (TS), 2021

Naser Damer

Christoph Busch

204

26

0

31 May 2021

Fair Feature Distillation for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021

198

87

0

27 May 2021

Bias in Machine Learning Software: Why? How? What to do?

Joymallya Chakraborty

Suvodeep Majumder

Tim Menzies

FaML

188

233

0

25 May 2021

Improving Fairness of AI Systems with Lossless De-biasing

Yan Zhou

Murat Kantarcioglu

Chris Clifton

94

12

0

10 May 2021

Transitioning from Real to Synthetic data: Quantifying the bias in model

Aman Gupta

Deepak L. Bhatt

Anubha Pandey

134

19

0

10 May 2021

When Fair Ranking Meets Uncertain InferenceAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

Avijit Ghosh

Ritam Dutt

Christo Wilson

237

50

0

05 May 2021