Your statement isn't true, there are a few scenarios where ML can reduce bias. If the human using the ML system is more biased than the average training sample

Your statement isn't true, there are a few scenarios where ML can reduce bias. If the human using the ML system is more biased than the average training sample, then the ML system's predictions could reduce their bias. There's also a phenomenon called bias reversal, where the ML system will be biased in the opposite direction of the humans generating the dataset. This occurs when the datasets is built through a non-random biased sampling methodology, e.g. racist police officers checking for illegal items. I'm not going to go into the full details, but here's a paper on it https://arxiv.org/abs/1909.08518 https://arxiv.org/abs/1909.08518