New Tech from Camera Makers Tries to Prove Photos Are Not AI Fakes
lifewire.com
lifewire.com
[1] https://patentimages.storage.googleapis.com/f7/e9/46/00ddfea...
[2] https://patentimages.storage.googleapis.com/4f/e3/ed/a46504f...
I saw it as a way for Law Enforcement to prove an evidence photo was not doctored.
(or even, interpose the bus connecting the image sensor to the rest of the camera)
I found a service selling 35mm slides of digital image files for £3.25 each.
Your camera generated a C2PA manifest when you created that image. If you include the EXIF metadata in that manifest, your subterfuge is revealed immediately. Even without GPS fields, the lens and camera parameters will tell me that you've taken a photo of a very small object rather than the scene represented in the image. If you don't include that metadata, then I know that you've intentionally concealed it from me. You might have a good reason to conceal that data, but I know that the manifest only "validates" a limited set of claims that do not actually tell me much (if anything) about the image.
C2PA is a tool to establish provenance, nothing more. It doesn't prove that an image is "true" in a philosophical sense, it just adds a layer of trust about the technical processes used to create that image. It doesn't stop anyone from misrepresenting an image, it doesn't stop anyone from circulating staged or AI-generated images on social media, but it does allow legitimate reporters, news agencies and other bodies to audit their information flows and show their workings. That isn't a magic bullet against misinformation, but it's still extremely valuable in lots of circumstances.
My instagram feed is increasingly filled with "AI models", for some reason I can really easily identify these images whereas earlier on I really struggled a lot. Now I can more easily recogize these images, it actually turns me off using Instagram as I find it annoying / jarring.
A few months back, I'd be looking at the hands etc to try work out if the image was real or not. I'd always fail those "is this person real or not" quizzes where as now, I can smash those things pretty easily and almost always know when an IG post is faked.
But in some sense , when could any photo be trusted ? We’ve had airbrushing, CGI forever now.
A GPU shortage under popularity growth should result in more obvious AI art over time sans an algorithm breakthrough that reduces compute cost by orders.
What exactly do you mean by "need"? This system doesn't stop anyone from distributing edited or staged or otherwise bogus media, because that was never the intention. It does allow someone to demonstrate - with a fairly high level of trustworthiness - that the media they're delivering is raw, unedited footage taken with a particular camera at a particular time in a particular place.
Starling Lab involves Dan Boneh.
https://leicacamerausa.com/leica-m11-p-in-silver-chrome.html
I'm sure they can make it hard, with secure silicon etc., but they'll never make it impossible and that somewhat defeats the purpose.
I also expect it not to be the low-hanging fruit of these cameras, but it is still one possible attack vector.
PUFs attempt to prevent this, but I'm not sure it's been done in a provably secure way yet https://en.wikipedia.org/wiki/Physical_unclonable_function
There's a lot of good reason to start insisting of people using digital signatures for everything they produce. Even without considering AI.
People obsess about what AIs can do here. But you might just make the point that at some point it starts rivaling what a determined hostile person could do manually right now. Sure, it adds scale and convenience for those with such intentions; which makes the problem more urgent than it already was. But it was pretty bad before that.
Putin did not use AI a few years ago. He simply just put some teams of writers to work to flood the internet with content intended to bend Elections this way or that way or erode public confidence.
Web of trust has been tried before of course but IMHO it deserves another chance. The current state is not sustainable when we might get AI generated content dwarfing the amount of genuine content very soon.
I just think that marketing teams are inevitably going to oversell it. The moment someone posts an obviously fake image to social media, with all checks from this tech giving the green light, it will destroy the public's confidence in it. The actual usefulness of the tech is nuanced, and it will be a struggle to convey it meaningfully (to technical and non-technical audiences alike)
It doesn't seem to matter at the moment though anyhow, the corrupt establishment so far seems to be a good enough job suppressing what they don't want out and maintaining control.
So… This camera owned by the New York Times, who only keeps track of the fact that an employee has a camera from the pool, not which camera in the pool. And if you’re not from some news organization, then I guess you’re in the burner camera category?
We have to verify via prior sensory experience (past experience) if the person speaking in the present is credible. How do we do that with limited sensory experience of their character? Personal ignorances and biases due to lack of experience?
We have to understand how to leverage the first principles of math to extend them, and teach those to others to propagate the knowledge.
Not really sure it’s possible to remove sensory experience from … well any understanding of the world.
Not sure what you wrote makes any sense.
To have no ability to determine whether a video, or image (or any media) is from a reliable source forever more, seems like a pretty bad place to be in - if this is what you're suggesting?
Here in the UK, the police have a long tradition of using pocket notebooks to record their observations and activities. It is a professional duty to make a contemporaneous note of anything significant that happens during a shift - attending a crime scene, observing a suspect, taking a statement from a witness. Each notebook has a unique serial number, which is recorded by the officer's supervisor when it is issued to them. Each page of the notebook is numbered sequentially. Each entry in that notebook must be closed with a line, the time and date and the officer's signature.
When a police officer gives evidence in court, the defence will ask to see their pocket notebook as a matter of course. If the evidence they give isn't corroborated by their pocket notebook, a jury or magistrate is entitled to draw their own conclusions about the veracity of the testimony. If an entry is obliterated or a page has been torn out, if the entries are out-of-sequence or don't match with the dispatch logs from the day in question, that's obviously a cause for significant scepticism and may constitute an act of professional misconduct.
A notebook with numbered pages isn't a particularly clever technical innovation, but the practice surrounding it creates a great deal of value. It doesn't infallibly prove that an officer is telling the truth, but it creates a lot of hurdles and pitfalls for a dishonest officer. Likewise, in-camera signing of images doesn't prove that an image is an accurate reflection of reality, but it does make life more difficult for dishonest photojournalists or insurance assessors or forensic investigators. It gives few firm answers, but it does allow us to ask useful questions. If you're presenting an image as evidence, is it signed? Do the timestamp and geotag fit with your testimony regarding the circumstances in which the image was taken? If not, why?