When training a facial recognition algorithm, using for example convolutional neural network, how to ensure that the trained algorithm is not biased towards a certain class/type of the trained data?
At this moment in history it’s impossible not to see the problems that arise from human bias. Now magnify that by compute and you start to get a sense for just how dangerous human bias via machine learning can be.
At this moment in history it’s impossible not to see the problems that arise from human bias. Now magnify that by compute and you start to get a sense for just how dangerous human bias via machine learning can be.