https://www.cnet.com/news/ibm-hopes-1-million-diverse-faces-can-reduce-bias-in-ai/

This comes after artificial intelligence in facial recognition systems has reportedly shown bias. Last week, an MIT study revealed that Amazon's Rekognition tech had a harder time recognizing the gender of darker-skinned women and made more mistakes identifying gender overall than competing technologies from Microsoft and IBM.

While researchers are already working with attributes like age, gender and skin tone, these features can't adequately characterize everyone, according to IBM. Things like face symmetry, facial contrast, the pose the face is in, and the length or width of eyes, nose, forehead, mouth and more need to be considered.