AI vs Human Errors
The cluster debates the nature, frequency, explainability, and acceptability of mistakes made by AI compared to humans, questioning whether AI can surpass human reliability and how to handle AI errors.
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Yes, humans fail at this, that's why we need technology tnat doesn't simply emulate humans, but tries to be more reliable than us.
how does it compare versus human error?
A human can explain why it made an error. Good luck sussing out the "why?" when an AI makes an error.
"Human's aren't perfect at X, so it doesn't matter if an unaccountable person who's plausibly wrong about everything does it or an AI". What's the difference, anyway?
You may find this interesting: "AI Mistakes Are Very Different from Human Mistakes"https://www.schneier.com/blog/archives/2025/01/ai-mistakes-a...
You can't get 100% reliability from a human either.
The problem with the curre t "AI" technology is it is only approximately correct (or rather, it is somewhat likely to produce a "good" result). This gives great use-cases when it comes to human perception, as we can filter out or correct small mistakes and reject big ones. But when used as input to a machine, even the smallest mistake can have huge consequences. Admittedly, this nonlinearity also applies when human beings "talk" to machines, but the input to and out
You think too highly of humans.Humans are not reliable. For every "no human would make this kind of mistake", you can find dozens to hundreds of thousands of instances of humans making this kind of mistake.
I think the issue is more that we at least recognize humans are fallible. Less so with “algorithms”.
Humans are not expected to be infallible. Computers are.This expectation causes a lot of other problems, and will cause problems here too.