AI led to an increase in radiologists, not a decrease(ft.com)
ft.com
AI led to an increase in radiologists, not a decrease
https://www.ft.com/content/f2e03bd9-af67-45c4-8e1e-79978b5bc48f
6 comments
If there was one application where deep learning was supposed to succeed, it was radiology
"people should stop training radiologists now" – Hinton, 2016
"people should stop training radiologists now" – Hinton, 2016
Per the article, it did succeed. AI radiology tools are being widely adopted, and they work very well.
But they are being used by radiologists, not instead of radiologists. And because scans can be interpreted more quickly and cheaply, more scans are ordered, which has increased the demand for radiologists overall.
But they are being used by radiologists, not instead of radiologists. And because scans can be interpreted more quickly and cheaply, more scans are ordered, which has increased the demand for radiologists overall.
Probably a cliche, but https://en.wikipedia.org/wiki/Jevons_paradox
This is the kind of process that happens with any new technology. Hinton probably just didn't know because he's never worked outside of academia. A common problem with people commenting about "the future of work", AI-related or otherwise.