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Source-provided image accompanying Preprint proposes explainable AI screening for broadband-adoption gaps across 83,359 U.S. census tractsTop story
Innovation5 min read
Innovation5 min read

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…

Read story Verified source: arxiv.org
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