> Now, apply the same kind of idea and feed an algorithm mugshots of all criminals. It's going to develop the same bias and tell you that a black person is more

> Now, apply the same kind of idea and feed an algorithm mugshots of all criminals. It's going to develop the same bias and tell you that a black person is more likely to be a criminal than a white person. No. Nobody training an ML system to detect criminals would train it only with pictures of criminals. And if you somehow did, it wouldn't determine that black people are more likely to be criminals, but that humans are more likely to be criminals than say ducks or fire engines. Yes, ML models can end up reflecting prejudices in their training data, but this description is incorrect, reductionist and unhelpful.