GESD: Beyond Outcome-Oriented Fairness

arXiv:2604.07009v1 Announce Type: new Abstract: Ensuring fairness in machine learning predictions is a critical challenge, especially when models are deployed in sensitive domains

arXiv:2506.10586v2 Announce Type: replace-cross Abstract: Determining whether an algorithmic decision-making system discriminates against a specific demographic typically involves

arXiv:2608.11251v1 Announce Type: cross Abstract: Fairness in AI systems has become more important with recent regulatory demands, such as the EU AI Act. Traditional approaches

arXiv:2511.20909v2 Announce Type: replace-cross Abstract: Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact