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by kkielhofner
1741 days ago
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The problem with using certificates is any media signed by a party (by nature) traces directly back to that source/certificate. With a certificate-based approach I can imagine something like Shodan meets Google Image Search being used to make it easier to source media for the purposes of enhancing training for an ML model. Needless to say I have serious concerns about this approach. This is why our approach only embeds a random unique identifier in the asset and requires a client to extract the media identifier to verify integrity, provenance, etc. There are also two problems at play here - are we trying to verify this media as being as close to the source photons as possible, or are we trying to verify this is what the creator intended to be attributable to them and released for consumption? The reality is everyone from Kim Kardashian to the Associated Press performs some kind of post-sensor procession (anything from cropping, white balance, etc to HEAVY facetunning, who knows what). |
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I think that it's still the user's job to make sure that they are skeptical of the provenance of any photos that claim to be from, say, the NY Times, that are not viewed in the NYT's viewer (if they were using your system). And then, they should still trust the image only as far as they trust the NYT. But if they're viewing the image the "right" way they can generally believe it's what the NYT intended to put out.
And perhaps, over time, user behavior would adapt to fit that method of media usage, and it would be commonplace.
I am skeptical that that "over time" will come to pass. And I think that users will not be apply appropriate skepticism or verification to images that fit their presuppositions. And I think malicious players (like some mentioned in the article) will attempt to build and propagate user behavior that goes around this system (sharing media on platforms that don't use the client, for instance).
And I guess making that broad set of problems harder or impossible is really what I'd like to solve. I can see how your startup makes good behavior possible, and I guess that's a good first step and good business case.