Recommendation: How a Feel-Good AI Story Went Wrong in Flint

Steve Simon

2019-01-09

Categories: Recommendation Tags: Big data Ethics in research Human side of statistics

Building a great statistical model does no one any good if it doesn’t pay attention to non-statistical issues. This story talks about a machine learning model to identify which houses in Flint Michagan that were the best candidates for removal of lead pipes. The model worked fairly well

Alexis C. Madrigal. How a Feel-Good AI Story Went Wrong in Flint. The Atlantic