Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by AnIdiotOnTheNet on Wednesday February 21, 2018 @02:29PM
(#16432197)
To be fair to our AI brethren, this is true of Humans too. I watch people game metrics every single day, and many of them fail spectacularly when presented with real world problems outside of their experience.
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by jacobush on Wednesday February 21, 2018 @05:15PM
(#16433470)
Gaming metrics is the very soul of corporate life
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by _emacsomancer_ on Wednesday February 21, 2018 @08:59PM
(#16434614)
Then which is real and which illusion?
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by jacobush on Thursday February 22, 2018 @03:28AM
(#16436112)
Good question. Sometimes, the metrics must be gamed to make real progress. (As opposed to the more usual gaming them for personal gain.)
Between these two, some self serving bias and delusion, mission statements etc.. what is real?!
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by taneq on Wednesday February 21, 2018 @09:56PM
(#16434836)
If they meet the spec, they're not stupid solutions, it's a stupid spec.
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by deong on Monday February 26, 2018 @03:15PM
(#16468586)
The problem is that we generally rely on human intelligence to fill in gaps in specs that are really not stupid for a human. AI will exploit gaps that a human would basically say aren't there until they see evidence to the contrary.
So we can say that's a bad spec if we like, but what's the answer that leads to? I don't need an AI if I can just declare all users must be really good programmers spending their days writing unambiguous specs. That wasn't really the goal of the AI though.
Re:Why Self-Taught Artificial Intelligence Has Trouble with ...
by candiodari on Thursday February 22, 2018 @02:46AM
(#16435945)
Unfortunately, when gaming metrics has real world consequences (and this is of course the whole point of those metrics, assuming they're not gamed), then things like 2008 happens, and tens of thousands of people lose their homes.
Reinforcement learning turns out to be fantastically clever at finding really stupid solutions if you give it the tiniest opening to do so. You put a camera in a room to provide feedback for an agent to learn to move an object closer to the camera, and it will happily learn to knock the camera over.