Active Fairness in Algorithmic Decision Making

28 September 2018

Alejandro Noriega-Campero

Michiel A. Bakker

Bernardo Garcia-Bulle

Alex Pentland

FaML

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Papers citing "Active Fairness in Algorithmic Decision Making"

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Title
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 46 0 0 04 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 45 3 0 27 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 38 8 0 26 Mar 2024
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 54 9 0 31 Jul 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 34 1 0 17 Feb 2023
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 35 11 0 13 Aug 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 40 11 0 13 May 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 89 30 0 31 Jan 2022
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 34 10 0 24 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 34 36 0 04 Nov 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 30 7 0 25 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 24 9 0 29 Sep 2021
Can Active Learning Preemptively Mitigate Fairness Issues? Frederic Branchaud-Charron Parmida Atighehchian Pau Rodríguez Grace Abuhamad Alexandre Lacoste FaML 22 20 0 14 Apr 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research A. Feder Cooper Ellen Abrams FaML 25 60 0 01 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 31 11 0 17 Nov 2020
Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research A. Feder Cooper 21 7 0 20 Oct 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 32 18 0 23 Jun 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 28 39 0 10 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 21 8 0 19 May 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 0 21 Jan 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 40 318 0 14 Nov 2018
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015