Bit seat drivers
Deep learning algorithms, and neural networks in general, require much more training than humans do. They are unable to generalize well enough to handle situations not covered in the training data, and can be thrown off by things that a human wouldn’t even notice. Today we look at these challenges by examining what it takes to train a neural network to drive a car.
Here are a couple of links about training self-driving vehicles.
Here’s a short video demo and an article about how AI image recognition can be fooled by things that wouldn’t fool many animals.