These New Tools Could Make AI Vision Systems Less Biased

September 27, 2023

(MIT Technology Review) – Computer vision systems are everywhere. They help classify and tag images on social media feeds, detect objects and faces in pictures and videos, and highlight relevant elements of an image. However, they are riddled with biases, and they’re less accurate when the images show Black or brown people and women. And there’s another problem: the current ways researchers find biases in these systems are themselves biased, sorting people into broad categories that don’t properly account for the complexity that exists among human beings.

Two new papers by researchers at Sony and Meta propose ways to measure biases in computer vision systems so as to more fully capture the rich diversity of humanity. (Read More)