We Must Stop Comparing Deep Learning’s Real Accuracy To Nonexistent Human Perfection

If a driverless car fails to avoid an accident in a situation where a human would also have likely been unable to avoid that accident, should we fault deep learning for not being better than a human?

In most cases the public’s answer seems to be yes, with the argument being that to many the point of driverless cars is to replace error-prone and easily distracted human drivers with flawless machines that don’t make mistakes and will have perfect safety records.

Would a driverless car that performs exactly on par with the average human driver be considered a success story ready to turn loose on public roads or should machines really be held to a vastly higher standard than we hold ourselves?

This raises the question of just what the point of the AI revolution really is.