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Volume 279: Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada
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Editors: Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:1-7
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From Models to Systems: A Comprehensive Framework for AI System Fairness in Compositional Recommender Systems
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:8-37
Better Bias Benchmarking of Language Models via Multi-factor Analysis
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:38-67
The Intersectionality Problem for Algorithmic Fairness
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:68-95
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:96-118
Improving Bias Metrics in Vision-Language Models by Addressing Inherent Model Disabilities
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:119-132
Multilingual Hallucination Gaps
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:133-155
Fairness-Enhancing Data Augmentation Methods for Worst-Group Accuracy
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:156-172
Privacy-Preserving Group Fairness in Cross-Device Federated Learning
; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:173-198
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