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naraburns  nihil supernum  1yr ago (text post)   31827 thread views

Culture War Roundup for the week of January 2, 2023

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Somewhat related but I was reading just yesterday about GPTZero which is an AI model designed to determine whether a body of text was generated by an AI. Apparently it used GPT-2 to train. Would be interesting to see if someone could develop something similar for identifying if an image was AI generated.

I was reading just yesterday about GPTZero which is an AI model designed to determine whether a body of text was generated by an AI. Apparently it used GPT-2 to train.

I now desperately want to see how GPTZero classifies typical corporate HR speak.

If you have a sample you want to test it has an online portal here.

Not only do I want this, but I want to see art competitions spring up around such a model where artists attempt to make art (while being observed to prevent cheating) which either maximizes or minimizes the AI's belief that their art is AI generated. Having artists study and attempt to replicate AI art styles in order to fool the detector would be cool and a funny reversal of the current paradigm, and having artists learn techniques which are uniquely human would be cool too (and may be a thing they attempt to do even without such competitions in order to minimize suspicions laid on their art).

All you need to do to win is to put a swastika in your art. No AI is allowed to create that.

One fix would be to use an unfiltered AI, or at least a discriminator that was trained on unfiltered AI.

More likely, the organizers would give the contest artists a list of rules, which would disqualify any art with "unacceptable" content which would be approximately the same as what the AI consider unacceptable. Though this may still lead to exploits like making something vaguely swastika shaped that humans won't find offensive but the AI will because it can't tell the difference.

That would be pretty neat, like a Turing test analog for art. I suspect any AI-art detector would, similar to adversarial attacks against AI classifiers, not be picking up anything that was visible to the human eye. It'd be some weird stuff like unnatural statistical patterns in the bits or something.

Probably. But you could mitigate some of that by having an adversarial learning environment where an AI trains against the classifier and learns not to do some of the more obvious tells. And even if the detector is really good and humans can't truly fool it with a >50% belief, they can still compete with each other: a 20% beats a 16% beats a 8%, even if none truly fool the AI. And maybe for minimizing you would do really smooth but curving lines that AIs have trouble with (In either case, you might need to have some score for artistic beauty from human judges in addition to classifier score to prevent trivial things like a blank canvas or a couple boring straight lines.)

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