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June 23, 2020 07:45 pm
The PULSE algorithm takes pixelated faces and turns them into high-resolution images. | Image: Twitter / @Chicken3gg
Original Link: https://www.theverge.com/21298762/face-depixelizer-ai-machine-learning-tool-pulse-stylegan-obama-bias
What a machine learning tool that turns Obama white can (and cant) 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?
Original Link: https://www.theverge.com/21298762/face-depixelizer-ai-machine-learning-tool-pulse-stylegan-obama-bias
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