MIT grad student Joy
Buolamwini was working with facial analysis software when she noticed a
problem: the software didn’t detect her face — because the people who
coded the algorithm hadn’t taught it to identify a broad range of skin
tones and facial structures.
Now she’s on a mission to fight bias in machine
learning, a phenomenon she calls the “coded gaze.” It’s an eye-opening
talk about the need for accountability in coding … as algorithms take
over more and more aspects of our lives.
Note from SunShower: our programs can help you develop your ability to track your biases.
