Preprint proposes explainable AI screening for broadband-adoption gaps across 83,359 U.S. census tracts
A new arXiv preprint describes a machine-learning framework that uses census-tract data and SHAP explanations to identify different patterns behind broadband adoption disparities. The authors report modestly better targeting than an income-only rule, but the work remains a preprint and does not show whether the…