It seems like biases related to error rates in image classification systems would be one of the easier problems to address - you basically just need to load in

It seems like biases related to error rates in image classification systems would be one of the easier problems to address - you basically just need to load in more data until the minimum accuracy level for all peoples is good enough. The harder biases to address are going to be ones where the AI reinforces current undesirable patterns. Eg statistically certain minority groups are more likely to commit petty crimes. If you replaced police with AI robots, these robots would then automatically label people from those minorities as more suspicious. That sucks, and likely has much more complex solutions.