Aequitas: A Bias and Fairness Audit Toolkit

14 November 2018

Kit T. Rodolfa

Papers citing "Aequitas: A Bias and Fairness Audit Toolkit"

46 / 146 papers shown

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Bias and unfairness in machine learning models: a systematic literature review T. P. Pagano R. B. Loureiro F. V. N. Lisboa G. O. R. Cruz R. M. Peixoto ... Maira M. Araujo Marco A. S. Cruz Ewerton L. S. Oliveira Ingrid Winkler E. G. S. Nascimento FaML 36 21 0 16 Feb 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 29 14 0 27 Jan 2022
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 29 35 0 10 Dec 2021
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation Jakob Mokander M. Axente F. Casolari Luciano Floridi 67 86 0 09 Nov 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 21 3 0 17 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 40 16 0 20 Sep 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Learning from Multiple Noisy Partial Labelers Peilin Yu Tiffany Ding Stephen H. Bach NoLa 23 22 0 08 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
Testing Group Fairness via Optimal Transport Projections Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 33 29 0 02 Jun 2021
Demographic Fairness in Biometric Systems: What do the Experts say? Christian Rathgeb P. Drozdowski Naser Damer Dinusha Frings Christoph Busch FaML 26 23 0 31 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 21 9 0 13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 44 17 0 13 May 2021
Explaining how your AI system is fair Boris Ruf Marcin Detyniecki FaML 58 1 0 03 May 2021
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning Tal Feldman Ashley Peake FaML 21 14 0 06 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation Jakub Wi'sniewski P. Biecek 26 18 0 01 Apr 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 58 26 0 16 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 31 16 0 03 Feb 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 34 95 0 28 Dec 2020
Beyond Privacy Trade-offs with Structured Transparency Andrew Trask Emma Bluemke Teddy Collins Ben Garfinkel Eric Drexler Claudia Ghezzou Cuervas-Mons Iason Gabriel Allan Dafoe William S. Isaac 14 0 0 15 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 16 38 0 09 Dec 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 25 66 0 08 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 19 18 0 04 Nov 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 27 126 0 30 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 32 616 0 04 Oct 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 21 55 0 14 Aug 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
A Machine Learning System for Retaining Patients in HIV Care Avishek Kumar Arthi Ramachandran Adolfo De Unanue Christina Sung Joe Walsh J. Schneider J. Ridgway S. Schuette Jeff Lauritsen Rayid Ghani OOD 6 2 0 01 Jun 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias Samaneh Abbasi-Sureshjani Ralf Raumanns B. Michels Gerard Schouten Dovile Juodelyte FaML 33 35 0 20 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 21 33 0 06 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias Po-Ming Law Sana Malik F. Du Moumita Sinha 34 6 0 26 Apr 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law Sana Malik F. Du Moumita Sinha 29 12 0 13 Mar 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 19 8 0 10 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 135 201 0 05 Mar 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 22 46 0 24 Jan 2020
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 29 53 0 21 Nov 2019
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 36 136 0 14 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,230 0 23 Aug 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 16 28 0 29 May 2019
The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services Yuantian Miao Minhui Xue Chao Chen Lei Pan Jinchao Zhang Benjamin Zi Hao Zhao Dali Kaafar Yang Xiang 21 34 0 17 May 2019
Faking Fairness via Stealthily Biased Sampling Kazuto Fukuchi Satoshi Hara Takanori Maehara MLAU 31 16 0 24 Jan 2019
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness Sebastian J. Vollmer Bilal A. Mateen G. Bohner Franz J. Király Rayid Ghani ... Karel G. M. Moons Gary S. Collins J. Ioannidis Chris Holmes H. Hemingway 17 40 0 21 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015