Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

Concerns about the trustworthiness, fairness, and privacy of AI systems are growing, and strategies for mitigating these concerns are still in their infancy. One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorit...

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Bibliographic Details
Main Authors: Yanchen Wang, Lisa Singh
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1520330/full