The optimism around modern technology lies in part in the belief that it’s a democratizing force—one that isn’t bound by the petty biases and prejudices that humans have learned over time. But for artificial intelligence, that’s a false hope, according to new research, and the reason is boneheadedly simple: Just as we learn our biases from the world around us, AI will learn its biases from us.
Source: Pacific Standard
A comment from the writers of this blog:
The chart below visualizes 175 cognitive biases that humans have, meticulously organized by Buster Benson and algorithmically designed by John Manoogian III.
Many of these biases are implicit bias which refers to the attitudes or stereotypes that affect our understanding, actions, and decisions in an unconscious manner. These biases, embedded in our language, are now getting embedded in big data. They are being absorbed by deep learning and are now influencing Artificial Intelligence. Going forward, this will impact how AI interacts with humans.
We have featured many other posts on this blog recently about this issue—how AI is demonstrating bias—and we are adding this “cheat sheet” to further illustrate the kinds of human bias that AI is learning.
Illustration content Buster Benson, “diagrammatic poster remix” by John Manoogian III
Source: Buster Benson blog
