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Well this depends on the application right, if I zoom in on an image in twitter and see some detail that wasn't really there... who cares? If I then go on to p
by SilverBirch 4y ago
Well this depends on the application right, if I zoom in on an image in twitter and see some detail that wasn't really there... who cares?
If I then go on to present that detail in a court of law as evidence of image manipulation, or some characteristic that doesn't exist, or to persuade people the evidence is fallible even though it originally wasn't. Well that's a problem, and it's a difficult problem because it comes down to difficult problems around what you're adveritising you're doing and what people trust you to do. Maybe it doesn't come down to a point of law. Maybe it comes down to trolls on twitter repeating those arguments, but without the burden of proof.
- dimatura 4y agoAbsolutely! Hence my caveat. Other scenarios where I'd be worried about hallucinations are in algorithms that control self-driving vehicles, or in medical-image analysis. I think accurately quantifying uncertainty for these problems (so that an algorithm, rather than just hallucinate, might say "I don't know") is an important and currently active research topic.