Setting aside the discussion around the responses on twitter, I think his take on algorithmic bias is too simplistic.
> Credit-card scoring algorithms may reject more qualified applicants in order to ensure that the same number of women and men are accepted.
The entire discussion revolves around what defines "more qualified" and why it cannot simply be the output of an algorithm because it reflects biases in training data and even training methodologies. If you just skip past that entire discussion you may think that there is this nefarious worldview of "injecting bias" but that requires a false or at least simplified premise to begin with.
There is a lot of just-world fallacies behind this sort of thinking. The same that leads to suggest that if "X started a business and made a lot of money" X must be by-definition hard working or talented etc. ignoring aspects of generational wealth, opportunities, fallback options if they failed, etc.
> Credit-card scoring algorithms may reject more qualified applicants in order to ensure that the same number of women and men are accepted.
The entire discussion revolves around what defines "more qualified" and why it cannot simply be the output of an algorithm because it reflects biases in training data and even training methodologies. If you just skip past that entire discussion you may think that there is this nefarious worldview of "injecting bias" but that requires a false or at least simplified premise to begin with.
There is a lot of just-world fallacies behind this sort of thinking. The same that leads to suggest that if "X started a business and made a lot of money" X must be by-definition hard working or talented etc. ignoring aspects of generational wealth, opportunities, fallback options if they failed, etc.