Information & Ethics committee  I'm not sure what tool you're referring to, but I think measuring these correlations and being aware that even a model with very high accuracy may not be itself amplifying biases and might be creating the same biases that are in the dataset. Even if a model isn't adding additiona

Information & Ethics committee  That's referring to biases in visual datasets.

Information & Ethics committee  I don't think I have anything else to add to what Dr. Watkins has said.

Information & Ethics committee  Exactly. The image quality will be different for different people.

Information & Ethics committee  Yes, you are. For brittleness, because we don't really know what the model is picking up on in order to make certain identifications, we don't know what patterns it's relying on. Because humans might know that people are likely to wear makeup and put on glasses, they can control

Information & Ethics committee  Ever since cameras were invented, they have always worked a lot worse on people with darker skin tones. They haven't accounted for different lighting differences. The cameras have always been developed primarily on people with lighter skin tones. A lot of times in different light

Information & Ethics committee  Hi, I'm Angelina Wang, a graduate researcher in the computer science department at Princeton University. Thank you for inviting me to speak today. I will give a brief overview of the technology behind facial recognition, as well as highlight some of what are, in my view, the mos