Many emerging technologies are implementing machine learning to get large tasks done without having to program specifically for those tasks.
This is a problem when the data used to "teach" a machine has a blind spot, or contains bias. When that data is pulled from the internet, it will almost certainly contain bias unless it is corrected by programmers. This can cause the output of programs using machine learning to have racial, gender and other biases commonly found on the internet.
Join us today as we discuss biased artificial intelligence, the latest in car tech and other tech news with a panel of guests.