Diving into my study of facial recognition technologies, I could now understand how, despite all the technical progress brought on by the success of deep learning, I found myself coding in whiteface at MIT. The existing gold standards did not represent the full sepia spectrum of humanity. Skewed gold standard benchmark datasets led to a false sense of universal progress based on assessing the performance of facial recognition technologies on only a small segment of humanity. Unaltered data collection methods that rely on public figures inherited power shadows that led to overrepresentation of
...more
