“Artificial Intelligence — The Revolution Hasn’t Happened Yet” is by a Berkeley professor who is a Michael Jordan of statistics and machine learning (and who is also named Michael Jordan) and goes very deep into issues I deeply care about.
https://medium.com/@mijordan3/artificial-intelligence-the-revolution-hasnt-happened-yet-5e1d5812e1e7
(Michael Jordan is an iconic basketball player from USA. No Amerocentrism here.)
Come for the discussion on data in medicine, stay for the evolution of society-spanning inference/decision-making systems.
So the original study of white spots in the heart region of a fetus ultrasound used a lower-resolution scanner than later became available. Geneticists trained that “white spots in the heart area ~> Down’s syndrome” later saw high-res ultrasound imagery with a fair bit of noise—with *some* random collection of white pixels, think high-ISO digital camera photos—and wrongly thought “Down’s syndrome”?
Pernicious! Hard to imagine engineering a system to avoid such data-provenance-reasoning flaws.
I now see that my attempt to be more clear for an international audience might have been more condescending than considerate, sorry. I regret the basketball Michael Jordan joke in my post.
https://suegardner.org/2016/03/21/a-little-guide-to-working-with-online-communities/ has shaped my writing:
“Cultural references (sports, movies, history) may be meaningless. Even for those of us who aren’t American, it’s easy to come across as U.S.-centric … High diversity argues for a style that’s literal, straightforward, and well-structured.“