It’s not always easy, being nice.
Especially when we’re feeling anything but nice.
But please, let’s do the right thing and put in a little bit of emotional labour to check ourselves.
Because if we don’t, we may not get a second chance.
(Had read too many badly written, caustic e-mails today. Though I wasn’t on the receiving end of them, I knew the people who were weren’t taking it very well, and I just wished the sender had thought about the consequences on people his words may have.)
Came across this question on Quora today: What are the most subtle ways to deceive people with statistics?
The answers are legendary. Going to be one for the bookmarks.
Scary stuff, but something I think we’re already deeply mired in: Physiognomy’s New Clothes (the new racism, courtesy of machine learning).
Reminds me of the book Weapons of Math Destruction, which also highlighted many important points about the problems with “runaway” algorithms, which not only face the danger of falling into a closed feedback loop (and thus feeding their native biases), but also where the builders of the algorithm are no longer around to ensure the algorithm’s still behaving according to theory and can no longer validate its results qualitatively.
What is more, having worked on many data science projects, I know how easy it is to build models that can be tweaked to say anything I want by just tweaking a couple of parameters.
And let’s just say that models that don’t quite agree with management’s decree don’t always see the light of day.
(Link to article above “Physiognomy’s New Clothes” via the wonderful Marginal Revolution blog, which also highlighted the fact that this was “neglected” — I personally am finding myself increasingly leaning toward the AI doomsayers. The more I know, the more I worry.)