"Recent research from the MIT Media Lab maintains that facial recognition is still significantly worse for people of color, however.
“This is not a small thing,” Isbell said of his experience. “It can be quite subtle, and you can go years and years and decades without even understanding you are injecting these kinds of biases, just in the questions that you’re asking, the data you’re given, and the problems you’re trying to solve.”
In his opening statement, Isbell talked about biased data in artificial intelligence systems today, including predictive policing and biased algorithms used in predicting recidivism rates.
“It does not take much imagination to see how being from a heavily policed area raises the chances of being arrested again, being convicted again, and in aggregate leads to even more policing of the same areas, creating a feedback loop,” he said. “One can imagine similar issues with determining it for a job, or credit-worthiness, or even face recognition and automated driving.”"
