> And if the people who make the model say "Hey, our model's biases aren't our responsibility, we're just representing the training data as best we can" I don'

> And if the people who make the model say "Hey, our model's biases aren't our responsibility, we're just representing the training data as best we can" I don't think this excuse is like the others. If the model doesn't work well because they used bias data, it is the job of the people making the model to find better data (or manipulate the training process to overweight some data and attempt to counteract the bias). I think the burden of responsibility has to be on the people who make models or put models into products to make sure the model is a good fit for the problem it is solving.