Surveillance State: Stanford Researchers Use AI To Determine Neighborhood’s Bias By Its Cars

A team of researchers at Stanford University have trained artificial intelligence algorithms to observe and study millions of images on Google Street View to determine how people vote by the make of their car. The algorithms were trained to recognize the make, model, and year of every car produced since 1990, in more than 50 million Google Street View images across 200 American cities.
The data on car types and location were then compared against the most comprehensive demographic database in use today, the American Community Survey, and against presidential election voting data to estimate demographic factors such as race, education, income and voter preferences, the Stanford News reported.
Fei-Fei Li, an associate professor of computer science at Stanford and director of the Stanford Artificial Intelligence Lab, led the team of researchers who published the study on Tuesday in the official journal of the U. S. National Academy of Sciences, and found a ‘simple linear relationship’ between cars, demographics and political persuasion.

This post was published at Zero Hedge on Dec 1, 2017.