https://techcrunch.com/2019/01/29/ibm-builds-a-more-diverse-million-face-dataset-to-help-reduce-bias-in-ai/

Encoding biases into machine learning models, and in general into the constructs we refer to as AI, is nearly inescapable — but we can sure do better than we have in past years. IBM is hoping that a new database of a million faces more reflective of those in the real world will help.

Facial recognition being relied on for everything from unlocking your phone to your front door, and being used to estimate your mood or likelihood to commit criminal acts — and we may as well admit many of these applications are bunk. But even the good ones often fail simple tests like working adequately with people of certain skin tones or ages.