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

Title
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 242 47 0 09 Dec 2020
Mitigating Bias in Federated Learning Annie Abay Yi Zhou Nathalie Baracaldo Shashank Rajamoni Ebube Chuba Heiko Ludwig AI4CE 185 107 0 04 Dec 2020
Fair Attribute Classification through Latent Space De-biasingComputer Vision and Pattern Recognition (CVPR), 2020 V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 435 180 0 02 Dec 2020
Towards Fairness in Classifying Medical Conversations into SOAP Sections Elisa Ferracane Sandeep Konam FaML 65 6 0 02 Dec 2020
Fair Densities via Boosting the Sufficient Statistics of Exponential FamiliesInternational Conference on Machine Learning (ICML), 2020 Alexander Soen Hisham Husain Richard Nock FedML 434 3 0 01 Dec 2020
Uncovering the Bias in Facial Expressions J. Deuschel Bettina Finzel Ines Rieger CVBM 107 14 0 23 Nov 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 250 11 0 17 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 193 73 0 08 Nov 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 450 127 0 07 Nov 2020
Making ML models fairer through explanations: the case of LimeOutInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2020 Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 101 7 0 01 Nov 2020
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 328 18 0 31 Oct 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of FairnessConference on Fairness, Accountability and Transparency (FAccT), 2020 Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 319 143 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 208 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 116 3 0 15 Oct 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 199 52 0 14 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data Sanjay Kariyappa Alan H. Gee D. Paydarfar Joydeep Ghosh 246 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 110 22 0 08 Oct 2020
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020 Simon Caton C. Haas FaML 517 793 0 04 Oct 2020
Towards a Measure of Individual Fairness for Deep Learning Krystal Maughan Joseph P. Near TDI FaML 155 6 0 28 Sep 2020
Legally grounded fairness objectives Dylan Holden-Sim Gavin Leech Laurence Aitchison AILaw FaML 130 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 270 35 0 16 Sep 2020
Justicia: A Stochastic SAT Approach to Formally Verify FairnessAAAI Conference on Artificial Intelligence (AAAI), 2020 Bishwamittra Ghosh D. Basu Kuldeep S. Meel 339 44 0 14 Sep 2020
Fair and accurate age prediction using distribution aware data curation and augmentationIEEE 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 254 9 0 11 Sep 2020
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 149 23 0 07 Sep 2020
Adversarial Learning for Counterfactual FairnessMachine-mediated learning (ML), 2020 Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 177 28 0 30 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 157 60 0 14 Aug 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 419 132 0 20 Jul 2020
Investigating Bias and Fairness in Facial Expression Recognition Tian Xu J. White Sinan Kalkan Hatice Gunes CVBM 344 179 0 20 Jul 2020
Ensuring Fairness Beyond the Training DataNeural 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 267 160 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 123 43 0 15 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 192 48 0 15 Jun 2020
Towards Integrating Fairness Transparently in Industrial Applications Emily Dodwell Cheryl J. Flynn B. Krishnamurthy Subhabrata Majumdar Ritwik Mitra 129 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 232 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 196 107 0 08 Jun 2020
Personalized Chatbot Trustworthiness Ratings Biplav Srivastava F. Rossi Sheema Usmani Mariana Bernagozzi 105 25 0 13 May 2020
Ensuring Fairness under Prior Probability ShiftsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Arpita Biswas Suvam Mukherjee OOD 138 36 0 06 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic BiasGraphics Interface (GI), 2020 Po-Ming Law Sana Malik F. Du Moumita Sinha 154 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 149 69 0 19 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual DatasetsInternational Journal of Computer Vision (IJCV), 2020 Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 291 211 0 16 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offsInternational Conference on Machine Learning (ICML), 2020 Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 170 15 0 07 Apr 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness 177 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 123 14 0 13 Mar 2020
Auditing ML Models for Individual Bias and UnfairnessInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 162 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 ChallengeIEEE Transactions on Technology and Society (IEEE TTS), 2020 P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 370 229 0 05 Mar 2020
Evidence-based explanation to promote fairness in AI systems J. Ferreira Mateus de Souza Monteiro FaML 101 5 0 03 Mar 2020