Fairness Verification

Fairness verification in machine learning aims to ensure that algorithms do not perpetuate or exacerbate existing societal biases. Current research focuses on developing methods to verify fairness across various model architectures, including neural networks and tree-based classifiers, addressing challenges like data scarcity, domain shifts, and the inherent complexities of model decision-making processes. These efforts are crucial for building trustworthy AI systems and mitigating the potential for discriminatory outcomes in high-stakes applications such as loan applications or criminal justice.

Papers

January 27, 2024

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
Physical Simulation Mechanistic Model Fairness Aware Simulation Model Fairness Aware Learning Fairness Verification

December 13, 2023

Fair Active Learning in Low-Data Regimes
Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson
Active Learning Fairness Constraint Active Learning Framework Chaotic Regime FAir Classifier Fairness Verification

October 17, 2023

Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu
Procedural Fairness Surrogate Model Algorithmic Fairness Surrogate Function Fairness Verification

January 29, 2023

Preserving Fairness in AI under Domain Shift
Serban Stan, Mohammad Rostami
Artificial Intelligence Domain Shift AI Model Fair Model Annotated Training Data Fairness Datasets Fairness Verification

December 8, 2022

Fairify: Fairness Verification of Neural Networks
Sumon Biswas, Hridesh Rajan
Neural Network Fairness Property Fairness Certification Fairness Verification

November 14, 2022

A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano, Novi Quadrianto
Timely Survey Environment Feature Algorithmic Fairness Fair Classification Decision Making Algorithm Fairness Guarantee Fairness Verification

September 27, 2022

Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi
Propositional Logic Tree Based Fairness Verification

July 22, 2022

Verifying Fairness in Quantum Machine Learning
Ji Guan, Wang Fang, Mingsheng Ying
Quantum Machine Learning Quantum Machine Learning Model Fairness Verification Quantum Decision