Two new papers from Sony and Meta describe novel methods to make bias detection fairer.
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.
Two new papers by researchers at Sony and Meta propose ways to measure biases… More.
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