Artificial Intelligence is everywhere in 2020; self driving cars rely on AI to make logical decisions in real-world situations, facial recognition by a police state is a heated debate in the media, and now AI is able to assess voter demographics based on physical appearance.
While the diverse population of the United States nearly reaches 330 million, computers are able to break down statistics and scale it with known data. This is exactly how an AI trained with cutting edge machine learning protocol managed to develop a summed image of the average Trump voter…
And it kind of resembles corn.
The program was designed by Alexandre H., a small-time programmer working in R&D labs around the Cambridge area. She fed the AI data sourced from gerrymandered datasets of the entire USA.
Gerrymandering is a useful tool used by politicians to divide votes amongst large portions of land. For instance, take a look at Pennsylvania’s map. The bulk of Pennsylvania comprises of hills, forests, and highways while PA’s main population lies on the Eastern and Western borders. Thanks to gerrymandering the rolling farmland is given an equal congressional vote as the high density cities are. Cool!
It’s always difficult to see the “hidden data” that eludes us normal people. Thankfully AI is constantly working to make developments in how we understand the world. Knowing that corn is given an equal opportunity in having its voice heard is refreshing. Thanks AI!