Automatic Causal Fairness Analysis with LLM-Generated Reporting 事件

Automatic Causal Fairness Analysis with LLM-Generated Reporting arXiv:2604.27011v2 Announce Type: replace-cross Abstract: AutoML, intended as the process of automating the application of machine learning to real-world problems, is a key step for AI popularisation. Most AutoML frameworks are not accounting for the potential lack of fairness in the training data and in the corresponding predictions. We introduce \textsc{FairMind}, a software prototype aiming to automatise fairness analysis at the