Yes, there is a huge problem with AI content flooding the field, and being able to identify/exclude it would be nice (for a variety of purposes)
However, the issue isn't that content was "AI generated"; as long as the content is correct, and is what the user was looking for, they don't really care.
The issue is content that was generated en-masse, is largely not correct/trustworthy, and serves only to to game SEO/clicks/screentime/etc.
A system where the content you are actually trying to avoid has to opt in is doomed for failure. Is the purpose/expectation here that search/cdn companies attempt to classify, and identify, "AI content"?
https://www.ietf.org/rfc/rfc3514.txt
Note date published
The current approach is that the content served is the same for humans and agents (ie, a site serves consistent content regardless of the client), so who a specific header is "meant for" is a moot point here.
I'd love to browse without that.
It does not bother me that someone used a tool to help them write if the content is not meant to manipulate me.
Let's solve the actual problem.
Still I believe MIME would be the right place to say something about the Media, rather than the Transport protocol.
On a lighter note: we should consider second order consequences. The EU commission will demand its own EU-AI-Disclosure header be send to EU citizens, and will require consent from the user before showing him AI generated stuff. UK will require age validation before showing AI stuff to protect the children's brains. France will use the header to compute a new tax on AI generated content, due by all online platform who want to show AI generated content to french citizens.
That's a Pandora box I wouldn't even talk about, much less open...
I think the recent drama related to the UK's Online Safety Act has shown that people are getting sick of country-specific laws simply for serving content. The most likely outcome is sites either block those regions or ignore the laws, realizing there is no practical enforcement avenue.
if this takes off I'll:
- tag my actual content (so they won't train on it)
- not tag my infinite spider web of automatically generated slop output (so it'll poison the models)
(of course, it was never going to be useful)
There are dedicated headers for other properties, e.g. language.
Feels weird to me that encoding is part of MIME, but language isn't, although I understand why.
Doing it in a HTTP header is furthermore extremely lossly, files get copy around and that header ain't coming with them. It's not a practical place to put that info, especially when we have Exif inside the images themselves.
The proper way to handle this is mark authentic content and keeping a trail of how it was edited, since that's the rare thing you might to highlight in a sea of slop, https://contentauthenticity.org/ is trying to do that.
probably ai-modified -- the core content was first created by humans, then modified (translated into another language). translating back would hopefully return you the original human generated content (or at least something as close as possible to the original).
| class | author | modifier/reviewer |
| ----------------- | ------ | ----------------- |
| none | human | human/none |
| ai-modified | human | ai | <--*
| ai-originated | ai | human |
| machine-generated | ai | ai/none |For those, my instinct is to fallback to markup which would seem to work quite well. There is the pesky issue of AI content in non-markup formats - think JSON that don't have the same orthogonal flexibility in annotating metadata.
While this doesn't invalidate the proposal, it does suggest we'd see similar abuse patterns emerge, once this header becomes a ranking factor.
Most web servers use mtime for Last-Modified header.
It would be crazy for Google to treat that as authorship date, and I cannot believe that they do.
I'm not sure what Google uses for authorship date, but if you do date-range based web searches, the actual dates of the content no longer have any meaningful relationship to what was set in the earch criteria (news seems mostly better but with some problems, but actual web search is hopeless). In both directions -- searching for recent stuff gets plenty of very old stuff mixed in, but searching for stuff from a period well in the past gets lots of stuff from yesterday, too.
Maybe better define an RDF vocabulary for that instead, so that individual DIVs and IMGs can be correctly annotated in HTML. ;)
> ai-modified Indicates AI was used to assist with or modify content primarily created by humans. The source material was not AI-generated. Examples include AI-based grammar checking, style suggestions, or generating highlights or summaries of human-written text.