Vivian Wei Jiang

From fair graphs to fair data: a DAG-based approach to mitigating bias in AI systems

This paper presents a fairness-aware graph structure learning framework demonstrating how learning fair graphs leads to fairer data for ML training and, consequently, fairer artificial intelligence (AI) decisioning based on such models.