this post was submitted on 12 Sep 2024
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I agree that is a bit of an ethical minefield to employ it to make decisions that affect peoples livelihood. But my point is if a company uses it to decide if an insurance claim should be paid out, the models ability to make those decisions isnt changed by what we call the steps it takes to come to a decision.
If an insurance company can dissect any particular claim decision and agree with each step the model took, then is it really different than having someone do it? Might it be better in some ways? A real concern is the fact that ai isnt perfect and mistakes made are pretty hard to accept... seems pretty dystopian i get that. But if less mistakes are made and you can still appeal decisions then maybe its overblown?
LLMs just repeat training sets - so every mistake is repeated forever.
Every bias is locked in and can't be fixed.
So you just deny people and expect them to appeal everything... sounds like you are offloading costs on the victims.
Shit like that is what makes it demonic.
I think its the company's responsibility to incorporate a technology to carry out their policy accurately. They cant just use an LLM stock from a vendor. They work to adapt it for their needs and get acceptable results. I think if an llm isnt considerably more accurate than humans then its a disservice to their customers and they should be responsible for that. There should be regulations to keep companies from using models if they dont work