New York study flags predictive lead pipe classifications against physical checks

A study examining predictive models used for classifying lead service lines in New York has found significant discrepancies when compared to physical verification. Out of 153 localities in New York, 49% that used predictive models for classification showed inconsistencies, with seven localities having data that could not be explained by sampling alone. Notably, New York City's predictive model classified 43,215 addresses as "Known Other" for material, while physical verifications showed lead on over 120,000 addresses, a stark contrast to the model's findings. AI

IMPACT Highlights potential inaccuracies in AI-driven regulatory compliance, impacting public health infrastructure.

RANK_REASON Academic paper detailing a study's findings on predictive modeling accuracy. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

• East Rochester
• Lead and Copper Rule Revisions
• Muhammad Sarmad Sohail
• New York
• New York City

• paper
• policy

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