This article is catnip for the HN community. Talk of algorithms and institutional bias? And a way to improve humanity using Silicon Valley machine learning te

This article is catnip for the HN community. Talk of algorithms and institutional bias? And a way to improve humanity using Silicon Valley machine learning technology? Many of you probably needed a change of pants. This article is trying real hard to find victim's anywhere and everywhere. Not that long ago there were many people talking about how wonderful the future was going to be with algorithms and big data to make unbiased decisions. Now we are basically there and they still find a problem with it because of "calibration issues" which were mentioned to be due to mathematical incompatibility. You'll also note the wording about the improved algorithm being "independent" of race. Not that the results were more fair or accurate, just "independent". Then there's the ever popular gender pronouns that were mentioned. Guess what. In nearly every country in the world doctors are majority male and nurses are majority female. Funny that we never hear these "gender biases" mentioned with things like "___ is a construction worker" or "___ is a bus driver", isn't it? Those are male dominated fields as well yet no one ever talks about gender imbalance or discrimination. It's only ever with the higher status/income jobs that you see this talk of imbalance. Many of these aren't "biases" but rather statistical probabilities.