Optimized Into Inequity: When Transit AI Serves the Algorithm Better Than the Rider
Transit agencies across the United States are turning to machine learning to modernize route planning and ridership forecasting, but the technology is generating serious questions about whose needs it actually serves. When predictive algorithms are trained on historical data shaped by decades of underinvestment, they may do little more than automate existing inequities at greater speed and scale. This investigation examines how artificial intelligence is reshaping urban mobility decisions—and wh