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

I've lost track of the number of times I've heard somebody say recently that Timnit Gebru is saving the world. Her co-lead of AI ethics at Google, Margaret Mitchell, said that about her a few days ago when Gebru led some events at Google around race. Her work with Joy Buolamwini that found race and gender bias in facial recognition is in part why lawmakers in Congress want to prohibit federal government use of the technology. That work also played a major role in Amazon, IBM, and Microsoft agreeing to halt or end facial recognition sales to police. Earlier in the week, organizers of the Computer Vision and Pattern Recognition (CVPR) conference, one of the biggest AI research conferences in the world, took the unusual step of calling her CVPR tutorial about how bias in AI goes far beyond data "required viewing for us all."