this post was submitted on 09 May 2026
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Now I don’t profess to remember the entire paper, but one section was certainly “Human factors” the difference between an expert is a human can place emphasis on the dangers above all else which an AI is often incapable of portraying, and the car will still have a human driver.
The whole point was this was a very limited and narrow language model, with AI image recognition with the assumption that the thing the human was describing and picturing is a mushroom and it’s still fallible. Specifically a mushroom identification program is a really bad idea and absolutely unethical to create, a system that answers any question you ask it where you sort out the guardrails as you go… that’s dangerous.
So the argument is that you tried an AI once and it didn't do a thing, therefore it is impossible to create an AI that is able to do it?
Let's say we reach the point where we can scan and then simulate the entire brain of a mushroom expert, then you'd have an AI that would give the same responses as a human expert would, is it ethical now? (Ignoring the ethics of simulating a person like that)
Simple classification problems are relatively trivial, just train an image classifier to take in a picture of a mushroom and have it predict the type, as well as whether or not the mushroom is similar to a dangerous one, and for good measure whether the picture is good enough to give reliable results. Train it based on feedback from experts and it should end up as reliable as the experts it was based on
Well I did study for 5 years, code the AI myself and spent 4 months training it using screensaver processing on ~800 computers. Not like I downloaded an AI from the play store and declared it to be rubbish. 😀
Even with reinforcement learning from human feedback, this is still a neural network where not every pathway leads to the correct outcome.
Regardless of all the complexities people are still far more accepting of human error than AI error in extreme situations.
Oh are you walking back the "it would be unethical" claim, and the claim that AI model cannot give nuanced responses like a human can?
Sounds like you are now saying that a model can be made that is far better than any human expert, but since it can never be perfect and because people are far less forgiving when machines make mistakes, therefore what exactly?
If we could make something that would reduce the absolute amount of yearly mushroom poisonings, then i would view that as an ethically good thing, not doing so would be like not making a medicine because it can give side effects, if the benefits outweigh the risks then i view it as a good thing
Can you see the irony of us having a nuanced debate which is leading to misunderstanding, because we are using a medium where detail and emphasis are difficult to achieve? 😀
My assumption of my mushroom identification program was they it would become widely available, which would be unethical.
In the hands of a trained Mycologist using it purely as a check on their established results. Possibly useful but easy to misuse.
A Mycologist using the program to perform the identification first, which they would then check, also dangerous as human factors would lead to confirmation bias.
AI systems inevitably lead to overconfident conclusions from people without the time or knowledge to know the potential risks.