Term Fairness

Term fairness in machine learning and decision-making systems focuses on ensuring equitable outcomes across different demographic groups, not just in immediate results but also over time. Current research emphasizes developing and comparing fairness metrics, designing algorithms that incorporate fairness constraints (e.g., through regularization or meta-learning), and analyzing the trade-offs between fairness and overall system performance across various applications (e.g., speaker verification, image classification, resource allocation). This work is crucial for mitigating biases and promoting responsible development and deployment of AI systems, impacting fields ranging from algorithmic bias detection to the design of fair and efficient resource allocation strategies.

Papers

June 9, 2024

Why Don't Prompt-Based Fairness Metrics Correlate?
Abdelrahman Zayed, Goncalo Mordido, Ioana Baldini, Sarath Chandar
Fairness Metric Fairness Assessment Statistical Fairness Term Fairness

April 27, 2024

A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness
Oubaida Chouchane, Christoph Busch, Chiara Galdi, Nicholas Evans, Massimiliano Todisco
Global Evaluation Consistent Comparison Fairness Metric Performance Metric Biometric System Biometric Signal Verification Performance Term Fairness Speaker Verification Fairness

February 19, 2024

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
Fairness Aware Term Fairness Online Meta Learning

January 8, 2024

A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
Junjie Yang, Jiajun Jiang, Zeyu Sun, Junjie Chen
Deep Learning Model Procedural Fairness Model Fairness Image Classification Model Fairness Method Term Fairness

December 16, 2023

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li
Multi Armed Bandit Sequential Decision Novel Reinforcement Learning Dynamic Restless Term Fairness Fairness Regret

May 19, 2023

Channel Cycle Time: A New Measure of Short-term Fairness
Pengfei Shen, Yulin Shao, Haoyuan Pan, Lu Lu, Yonina C. Eldar
New Measure Channel Wise Future Network Term Fairness

October 22, 2022

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yang Yu, Zhizhen Qin, Min Kyung Lee, Sicun Gao
Deep Reinforcement Learning Policy OpTimization Policy Optimization Decision Support System Long Term Fairness Term Fairness Advantage Learning

August 24, 2022

Enforcing Delayed-Impact Fairness Guarantees
Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Castro da Silva
Fairness Constraint Fair Machine Learning Long Term Fairness Exact Enforcement Term Fairness Fairness Attribute

August 11, 2022

Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si-Salem, G. Iosifidis, G. Neglia
Resource Allocation Fairness Objective Long Term Fairness Term Fairness

May 20, 2022

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
Adaptive Importance Environment Feature Fairness Constraint Term Fairness

April 4, 2022

Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu, Lu Zhang
Procedural Fairness Causal Graph Sequential Decision Making Long Term Fairness Term Fairness