Hi all,
Some thoughts, having read the thread through again.
On disclosure: I understand the appeal. Mattj puts the strongest version of
the case: that we're currently in the dark about how these tools are being
used in our community. My hesitation is with making it a requirement. A
requirement will mostly be honoured by people who aren't producing the
submissions we broadly agree we want to stop, while the people producing
those are unlikely to honour it. Without assignable consequences it doesn't
bite, and my worry is that it mainly burdens contributors who are making
perfectly good use of these tools. Goffi points to llama.cpp and CPython. I
don't know enough about how those requirements work in practice to say
whether they transfer here. Both, I suppose, are handling code
contributions with automated test suites behind them, which is maybe a
rather different review problem to ours?
One thing I think we should do regardless: Ralph proposed a sentence for
XEP-0143, that authors must understand, verify, and take responsibility for
every contribution they submit. That seems worth having written down
whatever else we decide, so I've opened a PR for it:
. It is deliberately not AI-specific,
and is not intended to settle anything else in this thread.
Which brings me to what I think is the actual problem. One of the XSF's
most valuable assets is the volunteering force that helps us achieve our
goals. We have not historically done a great job at preventing burnout
among those volunteers, and we need to do better. If we do start receiving
large volumes of AI-generated slop (and I don't think that has happened
yet, but we would be wise to prepare) it carries a significant risk of
adding to those burdens. Kev's point about the Editor role, and about the
effort asymmetry between generating and reviewing a submission, seems to me
the concrete harm we should be organising around. Not copyright, and not
disclosure for its own sake.
So rather than "disclose AI", I'd like us to think about what we actually
need in order to identify and handle low-quality submissions at volume,
whatever produced them, AI or humans. Two things I think we need in order
to have that conversation properly:
First, prior art. Goffi, you're the one with the most energy on this and
you're seeing it from the Council side. Would you be willing to take this
on? Kev hinted at the GSoC mentor discussions this year, and the IETF has
apparently seen entire suites of AI-generated Internet Drafts. Other
organisations are dealing with this right now, and I'd like to know what
they've tried and how it worked out before we invent our own approach. It's
well-bounded work, and if it comes back showing that disclosure
requirements are doing real work elsewhere, that's an argument I'd want to
hear and one that would carry weight with Board.
Second, procedure. If we identify a submission as slop, what happens? I
think we need to guard in two directions at once: against volunteers having
to process slop, and against submitters being rejected bluntly ("computer
says no").
MSavoritias made a point earlier: consensus is unlikely to arrive on its
own if we simply keep talking. I said in May that I preferred to see
concrete, actionable proposals before this went to Board, and I still think
that's right, but I'm aware that's easy to say and harder to act on, and
I've not done much acting on it myself.
To answer the question Goffi has now put twice: I don't think we're ready
for Board yet, and I want to be honest that this is the second time I've
said so. What I think would change that is a concrete proposal with the
prior art behind it. That's not far off (and the PR above already is a
small piece of it).
Kind regards,
Guus
On Wed, Jul 8, 2026 at 9:52 AM Goffi <goffi(a)goffi.org> 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.
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.
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
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 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.
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.
Best,
Goffi_______________________________________________
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