Hi Ralph,
Two things:
First on the review gate: Dave has made the point that it sits too early,
and you've added that XEPs used to be changed by discussing with the author
rather than by PR. Moving that gate later (light review at intake, with the
deeper reading happening as people actually engage with a spec) is a change
we could actually make. It has the property that nothing gets a careful
reading until someone cares enough to give it one, which is exactly the
wrong incentive for anyone submitting in volume. It would help whether or
not that volume materialises. It doesn't require us to agree about AI at
all. Before committing to it, though, I'd want to understand why we moved
in the other direction in the first place. Presumably it served some
purpose.
Second: you've twice invited a PR against XEP-0143 using your phrasing.
I've opened one:
. It's your sentence,
in the submission process rather than the pre-submission advice, since the
latter is explicitly advisory. It's deliberately not AI-specific and it
doesn't settle anything else here. I'd rather it merged on its own merits
than became a proxy for the wider argument.
You asked Goffi why a human-authored document wouldn't need the same
thoroughness. I think that's unfair to him. Reviewers have always read with
priors. You read a new contributor more carefully than a familiar one, and
for a familiar contributor you may give more attention to certain aspects
than to others. Knowing a submission came from an LLM tells you to go and
check the references. That's useful information, if you have it. My
objection isn't that disclosure would tell us nothing, it's that I don't
expect it to be accurate in the cases where it matters most. Those are
separate arguments, and I think they've been getting mixed up.
Kind regards,
Guus
On Wed, Jul 8, 2026 at 11:13 AM Ralph Meijer <ralphm(a)ik.nu> wrote:
On 08/07/2026 09.52, Goffi wrote:
Hi,
Le mardi 7 juillet 2026, 21:16:07 heure d’été d’Europe centrale Ralph
Meijer a
écrit :
> [SNIP]
> I do not see why these problems uniquely exist because of the use of
AI, and
why this isn't covered by an author's existing responsibility to
ensure quality and the pre-conditions for assigning ownership rights to the
XSF per its IPR policy (in particular sections 3.1 and 3.2).
The scale and effort required is not the same
with AI.
In creating the contribution, this may be true. Like Dave commented
elsewhere in the thread today, I am not convinced about increased effort
on triaging (initial submission) or review of individual XEPs to move
between states. If you mean the volume of submissions or XEP PRs, then
we need to figure out how to lighten that effort. In the past, for
example, PRs were not the approach to getting a XEP changed. You'd
discuss your suggestions with the author(s) and then they would make
changes. The Editor might be involved, but there is no such requirement
unless (about) to move between states.
I agree with Dave that putting all the scrutiny at the beginning of your
process (unlike before) does not help. Instead, accepting a new
contribution with light review allows the distribution of the load to
the rest of Standards JIG. I.e. people will start reading, commenting,
attempting to implement, etc.
> If you cannot formulate the requirements for
quality for humans, then
how does declaring use of AI make things better? And if
you can, and a
submission complies, how does it matter that AI was used in the process?
How would you handle “AI-tainted” submissions differently?
I would read it differently. If I know that a
whole section is AI
written, I know that the text and references can be
hallucinated, and that
there can be more boilerplate text than a human would do.
If AI is used to extract table or make examples,
I'll probably check
quickly for hallucinated values.
If AI is used for slight reformulation and
spelling/grammar, I'll
probably read it no differently as I read pure human
submission.
If a request is slop (low effort fully generated AI), I'll probably not
bother
and reject it.
In any case, I would appreciate and consider polite to be informed if
I'm
reading a human or machine generated content.
What criteria do you use to make these judgements. Why is there an
assumption that if a human created it, you do not have to be as thorough?
> The same holds for potential rights issues.
The author is still
responsible.
>
> My concern is that all future submissions will just have this
disclosure as
boilerplate, and a recipient cannot assess how deep the
impact of the use of AI is. With the accelerating growth we see in both the
capabilities and the use of AI, this becomes increasingly hard. We will not
have gained anything substantial. In that regard it reminds me of the Evil
Bit (RFC 3514) / Malicious Stanzas (XEP-0076).
This is not what I'm seeing in other
projects. Even the local inference
engine "llama.cpp", which we can
hardly accuse to be "anti-AI", ask for
that, you can check PRs there:
https://github.com/ggml-org/llama.cpp/pulls
I agree that allowing submissions by PR makes it easier for agents and
people to submit them and that may contribute to increased volume. I
also think that code is different from protocol specifications. But as I
mentioned above, if you cannot triage quickly, this requires changes to how
heavy your triage process is. I do not see how an optional declaration
makes any of this better.
> The statement you linked to seems like common
sense and doesn't
actually require disclosure. Consider this document again,
but conceptually
replace “the use of AI” with the “use of a keyboard”. Does having such a
statement change the outcome of our standards process?
This is a very poor comparison. It's like
saying "I don't see why we
need a driving license, I don't need one to
walk". The scale is not the
same, with LLM you can generate easily tons of text looking on the surface
more or less OK.
I love car analogies. No, my suggestion is more like you asking how I
got to the XMPP Summit, and you valuing me differently when I came by
car. Besides your personal preferences, this should not have any bearing
on my contributions in that venue. And I will certainly not show you my
drivers license or discuss its impact on the environment _in that context_.
> I think that our author guidelines (XEP-0143)
are already clear, and
sense all the above boils down to this:
>
> “Authors must understand, verify, and take responsibility for
every
contribution they submit.” (-- ChatGPT with my prompting)
>
> While noting that this stance is not universally accepted (e.g. see <
https://jme.bmj.com/content/51/4/230>)t;), I think it is suitable for our
standards process. Feel free to use this phrase in a concrete proposal,
like a PR to XEP-0143.
To clarify my (current) position: I'm not
asking for an AI ban, it could
not be enforceable and AI is a great tool for
accessibility and many other
things. But I'm advocating for requesting a disclosure (maybe not
mandatory, but strongly suggested). Explain that we have human reviewers
behind, and that we'll reject AI slops specifications. Use of AI need to be
fully checked, and text should be reduced to essential. The later is one of
the main painful point with content generated by or with AI: it's longer
than necessary, and that make it harder to review.
We could start to have this as a template/popup when doing a
pull-request.
As I wrote earlier, if you can provide concrete changes to, say,
XEP-0143, I would be happy to judge them on face value. I am fine with
stronger indication of the responsibilities we require of authors (like
my proposed text). Preferably, you still need to define how you "reject
AI slops" using objective criteria. If "gut feeling" is the process,
then you can already do this.
FWIW, the paper I referenced is an in-depth discussion on the
responsibilities of human authors on scientific papers, which should be
an interesting read for anyone that wants to seriously discuss this
topic. There are rebuttals to it, too, but unfortunately they are not as
open-access as this CC-licensed paper.
> Disclosure: this message was manually (glide)
typed on a OnePlus 12,
using Google Board, in Thunderbird for Android. Conversing
with AI may have
influenced my thought process. Except where explicitly noted, no excerpts
of other works were included in this message.
No need to be sarcastic here, this is a problem
seen across the whole
industry, it seems legitimate to me to state our position,
like many other
organisations are doing.
This was not meant as a sarcastic jab at all. It was meant as a concrete
example of how hard it is to usefully declare the use of AI. I
specifically mentioned Google Board and glide typing, because it uses
machine learning and AI for writing each word based on how you glide. It
has auto-correction, spell checks, etc. I didn't run the whole text
through an LLM myself to correct my writing, though, and so there should
be no hallucinations (other than my own) or unsupported citations.
If you want to have optional declarations of the use of AI, then you
also need to specify what that declaration could look like. If it is
free-form, then you will get things like my example.
ralphm
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