Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution 事件

Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution arXiv:2411.05196v3 Announce Type: replace Abstract: This study presents DhondtXAI as a SHAP-independent, D'Hondt-based attribution framework for tabular XAI. Instead of model-native feature importance or SHAP values, DhondtXAI computes background-interventional removal effects, separates positive and negative evidence, forms optional feature alliances, applies optional thresholds, allocates seats via t