What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias

The PULSE algorithm takes pixelated faces and turns them into high-resolution images. | Image: Twitter / @Chicken3gg

It’s a startling image that illustrates the deep-rooted biases of AI research. Input a low-resolution picture of Barack Obama, the first black president of the United States, into an algorithm designed to generate depixelated faces, and the output is a white man.

It’s not just Obama, either. Get the same algorithm to generate high-resolution images of actress Lucy Liu or congresswoman Alexandria Ocasio-Cortez from low-resolution inputs, and the resulting faces look distinctly white. As one popular tweet quoting the Obama example put it: “This image speaks volumes about the dangers of bias in AI.”

But what’s causing these outputs and what do they really tell us about AI bias?

Continue reading…

via The Verge – All Posts

Check out the Finding Your Identity Podcast!