China has released a set of guidelines on labeling internet content that is generated or composed by artificial intelligence (AI) technology, which are set to take effect on Sept. 1.
USA announces plan to ban the buds of the cannabis plant
They plan to ban hating on the supreme leader.
China is long ahead with that so maybe there is hope.
Stable Diffusion has the option to include an invisible watermark. I saw this in the settings when I was running it locally. It does something like adds a pattern that is easy to detect with machines but impossible to see. The idea was that you could check an image for it before putting it into training sets. Because I never needed to lie about things I generated I left it on.
About as enforceable as banning bitcoin.
Something that we’ve needed for too long. Good on China :)
Will be interesting to see how they actually plan on controlling this. It seems unenforceable to me as long as people can generate images locally.
That’s what they want. When people doing it locally, they can discredit anything as AI generated. The point isn’t about enforability, but can it be a tool to control narative.
Edit: it doesn’t matter if people actually generating locally, but if people can possibly doing it. As long as it is plausible, the argument stands and the loop completes.
This is a smart and ethical way to include AI into everyday use, though I hope the watermarks are not easily removed.
Think a layer deeper how can it misused to control naratives.
You read some wild allegation, no AI marks (they required to be visible), so must written by someone? Right? What if someone, even the government jumps out as said someone use an illiegal AI to generate the text? The questioning of the matter will suddently from verifying if the allegation decribed happened, to if it itself is real. The public sentiment will likely overwhelmed by “Is this fakenews?” or “Is the allegation true?” Compound that with trusted entities, discrediting anything become easier.
Give you a real example. Before Covid spread globally there was a Chinese whistleblower, worked in the hospital and get infected. He posted a video online about how bad it was, and quickly got taken down by the government. What if it happened today with the regulation in full force? Government can claim it is AI generated. The whistleblower doesn’t exist. Nor the content is real. 3 days later, they arrested a guy, claiming he spread fakenews using AI. They already have a very efficient way to control naratives, and this piece of garbage just give them an express way.
You though that only a China thing? No, every entities including governments are watching, especially the self-claimed friend of Putin and Xi, and the absolute free speech lover. Don’t think it is too far to reach you yet.
It’s still a good thing. The alternative is people posting AI content as though it is real content, which is a worldwide problem destroying entire industries. All AI content should by law have to be clearly labeled.
Then what AI generated slop without label are to the plain eyes? That label just encourge the laziness of the brain as an “easy filter.” Those slop without label just evelated itself to be somewhat real, becuase the label exist exploiting the laziness.
Before you said some AI slop are clearly identifiable, you can’t rule out everyone can, and every piece are that identifiable. And for those images that looks a little unrealistic, just decrease the resolution to very grainy and hide those details. That will work 9 out of 10. You can’t rule out that 0.1% content that pass sanity check can’t do 99.9% damage.
After all, human are emotional creatures, and sansationism is real. The urge of share something emotional is why misinformation and disinformation are so common these days. People will overlook details when the urge hits.
Somethimes, labeling can do more harm than good. It just give a false sense.
Just because something is theoretically circumventable doesn’t mean we shouldn’t make it as hard as possible to circumvent it.
The reason why misinformation is so common these days is because of concerted effort by fascists to obtain control over media companies. Once they are in power and have significant influence within those companies they can poison them, turning them into massive misinformation engines churning out content at a pace even faster than we ever believed possible. This problem has existed since the rise of mass media especially in the 19th century. But social media presents far faster and more direct throughlines to spreading misinformation to the masses.
And those masses do not care if something is labeled as AI or not. They will believe it one way or the other. This still doesn’t change that it is necessary to directly label AI generated content as such. What is and isn’t made by a human is extremely important. We cannot equate algorithms with people, and it’s necessary to make that distinguishment as clearly as possible.
The problem is you can’t make a digital label that hard to circumvent. Much like a signature, you sign something you want to prove it is genuinely from you, but you won’t sign something that’s not from you while not signing things that are, especially in digital format. Digital signature can just be stripped out of the data. Watermarks on images can now patched with the help of inpainting models. Disclaimers in text can just be deleted. The default shouldn’t be “This thing doesn’t have an AI label so it would be written by human.” The label itself it a slippery slope that helps misinformation spread faster and aid building alternate facts. Adding a label won’t help people identify contents generated with ML models, but let them defer the identification to that mere label because it said so, or didn’t.
Misinformation didn’t spread fast simply because fascists obtained controls on medias. Just look at how China, Russia, and Iran launch misinformation campaigns. They didn’t have to control those media, but some seed accounts that make sensational title that attracts people in more powerful position and recognition to spread it out. For more info on misinformation and disinformation, I recommend you watch Ryan McBeth’s video on YT.
Yes, we need a way to identify what is and what not generated by ML models, but that should not be done by labeling ML contents.
I’m curious what you would suggest to aid identifying generated content if not clear labeling. Sure its circumventable but again its more than what already exists. It provides legal precedence for repercussions to companies trying to pass off AI generated content as human created.
Please allow me to have a little bit of time deep thoughts and organize myself. It might take a while, but I will give you a response.
It will be relatively easy to strip that stuff off. It might help a little bit with internet searches or whatever, but anyone spreading deepfakes will probably not be stopped by that. Still better than nothing, I guess.
it will be relatively easy to strip off
How so? If it’s anything like llm text based “water marks” the watermark is an integral part of the output. For an llm it’s about downrating certain words in the output, I’m guessing for photos you could do the same with certain colors, so if this variation of teal shows up more than this variation then it’s made by ai.
I guess the difference with images is that since you’re not doing the “guess the next word” aspect and feeding the output from the previous step into the next one, you can’t generate the red green list from the previous output.
Having an unreliable verification method is worse than nothing.
That’s something that was really needed.
China, oh you Remembering something about go green and bla bla, but continue to create coal plants.
The Chinese government has been caught using AI for propaganda and claiming to be real. So I don’t see it happening within the Chinese government etc.
Having some AIs that do this and some not will only muddy the waters of what’s believable. We’ll get gullible people seeing the ridiculous and thinking “Well there’s no watermark so it MUST be true.”
Sorry but the problem right now is much simpler. Gullibility doesn’t require some logical premise. “It sounds right so it MUST be true” is where the thought process ends.
And the lack of label just reinforced the confirmation bias.
Lol. So everything and anything can just be AI generated fakenews.
Me: “hé <AI name> remove the small text which is at the bottom right in this picture”
AI: “Done, here is the picture cleaned of the text”
It makes more sense to mark authentic content but sure.
This is a bad idea. It creates a stigma and bias against innocent Artificial beings. This is the equivalent of forcing a human to wear a collar. TM watermark
Forgot the /s I assume
But I put in the water mark!
Imma be honest with ya, did not notice it at all lol now I see what you did there and no /s needed of course
Would it be more effective to have something where cameras digitally sign the photos? Then, it also makes photos more attributable, which sounds like China’s thing.
This is the one area where blockchain could have been useful instead of greater-fool money schemes. A system where people can verify provenance of images or videos pertaining to matters of importance such as news stories. All reputable journalism already attributes their photos anyways. Cryptographic signing is just taking it to a logical conclusion. But of course the scary word ‘china’ is involved here therefore we must only contrarian post.
No, I don’t want my photos digitally signed and tracked, and I’m sure no whistleblower wants that either.
Of course not. Why would they? I don’t want that either. But we are considering the actions of an authoritarian system.
Individual privacy isn’t relevant in such a country. However, it’s an interesting choice that they implement it this way.
Apart from the privacy issues, I guess the challenge would be how you preserve the signature through ordinary editing. You could embed the unedited, signed photo into the edited one, but you’d need new formats and it would make the files huge. Or maybe you could deposit the original to some public and unalterable storage using something like a blockchain, but it would bring large storage and processing requirements. Or you could have the editing software apply a digital signature to track the provenance of an edit, but then anyone could make a signed edit and it wouldn’t prove anything about the veracity of the photo’s content.
Hm, that’s true there’s no way to distinguish between editing software and photos that have been completely generated. It only helps if you want to preserve and modified photos. And of course, I’m making assumptions here that China doesn’t care very much about privacy.
That’s actually already a thing: https://www.theregister.com/2022/08/15/sony_launches_forgeryproof_incamera_digital/
That’s a different thing. C2PA is proving a photo is came from a real camera, with all the editing trails. All in a cryptographic manner. This in the topic is trying to prove what not real is not real, by self claiming. You can add the watermark, remove it, add another watermark of another AI, or whatever you want. You can just forge it outright because I didn’t see cryptographic proof like a digital sign is required.
Btw, the C2PA data can be stripped if you know how, just like any watermarks and digital signatures.
Stripping C2PA simply removes the reliability part, which is fine if you don’t need it. It is something that is effective when present and not when it isn’t.
