For the largest health insurer in the US, AI’s error rate is like a feature, not a bug.
“error” suggests it’s not the intended result.
I thought the same thing, like “damn who uses a model with a 10% accuracy on its training data?”
It’s a very advanced algorithm.
Step 1: would we cover this? No: all good. Yes: consult AI.
Step 2: is the AI recommending we cover this? No: all good. Yes: reconfigure AI and go to step 2.
It’s not a bug, it’s a feature 👍
This feels like a recurrence of the dumbassery of yesterdecade with the excitement over algorithms. AI simply is not ready for these sorts of applications. That it was put in charge of anything with any degree of gravity is already a massive failure.
AI is literally a more complicated algorithm.
Unfortunately UnitedHealth is big enough that they will pay less than they made.
Anyone company using AI for actual business, without a disclaimer, is daf.
The money made them believe it’s ready to go live.
These are the people giving AI a bad name.
