AI Weekly: A deep learning pioneer’s teachable moment on AI bias

AI Weekly: A deep learning pioneer’s teachable moment on AI bias


Publication Title
Venture Beat
Publication/Creation Date
June 26 2020
Creators/Contributors
Khari Johnson (creator)
Timnit Gebru (contributor)
Margaret Mitchell (contributor)
Joy Buolamwini (contributor)
Yann LeCun (contributor)
Duke University (contributor)
Devin Guillory (contributor)
Ruha Benjamin (contributor)
Facebook (contributor)
Persuasive Intent
Information
Description
"The entire episode between two of the best-known AI researchers in the world started about a week ago with the release of PULSE, a computer vision model created by Duke University researchers that claims it can generate realistic, high-resolution images of people from a pixelated photo.

The controversial system combines generative adversarial networks (GANs) with self-supervised learning. For training, it used the Flickr Face HQ data set compiled last year by a team of Nvidia researchers. The same data set was used to create the StyleGAN model. It seemed to work fine on White people, but one observer input a depixelated photo of President Obama, and PULSE produced a photo of a White man. Other generated images gave Samuel L. Jackson blonde hair, turned Muhammad Ali into a White man, and assigned White features to Asian women."

HCI Platform
Other
Location on Body
Not On The Body
Source
https://venturebeat.com/2020/06/26/ai-weekly-a-deep-learning-pioneers-teachable-moment-on-ai-bias/