Forwarding to additional lists which may have interested subscribers.
Thanks, Halley. :)
Pine🌲
---------- Forwarded message ---------
From: Halley Coplin via Wiki-research-l <wiki-research-l(a)lists.wikimedia.org
>
Date: Fri, Aug 28, 2026 at 12:35 PM
Subject: [Wiki-research-l] Published: API Strategy Brief
To: <mediawiki-api-announce(a)lists.wikimedia.org>, Wikitech-l <
wikitech-l(a)lists.wikimedia.org>, <wiki-research-l(a)lists.wikimedia.org>
Cc: Halley Coplin <hcoplin(a)wikimedia.org>
Hello and happy Friday!
An API Strategy Brief is now published on mediawiki.org:
https://www.mediawiki.org/wiki/MediaWiki_Product_Insights/Artifacts/API_Str…
This strategy brief covers the direction we're taking Wikimedia's API
ecosystem over the next few years, including touching on topics like: why
APIs
are so important for powering the future of Wikimedia projects, how the
current landscape has grown fragmented and hard to navigate, what we're
doing to make it more consistent and better documented, and where community
developers fit in.
The strategy is written for and applies to anyone building on top of
Wikimedia APIs
<
https://www.mediawiki.org/wiki/MediaWiki_Product_Insights/Artifacts/API_Per…
>,
not just internal teams. This strategy was also predominantly informed by
conversations with Wikimedian developers through Listening Tours, Hackathon
engagements, and more, so I'd like to continue that trend and make sure our
strategy reflects what the community actually needs.
If you have thoughts, questions, or concerns, please feel free to post to
the talk page, or message me directly via email, Discord, Telegram, smoke
signals, or however else you'd like to get in touch.
Thanks!
Halley
[PS]: I am also starting to work on a companion doc that goes deeper into
our AI + API strategy, specifically. If that's a space that interests you,
or if you increasingly feel like you identify as a 'vibe coder', I'd love
to talk! :) Feel free to grab time on my calendar
<https://calendar.app.google/B6SBKQVgK7CQ8VXy9>, send your thoughts through
email, or comment on the talk page for the API Strategy Brief.
*Halley Coplin* (she/her)
Sr. Product Manager, MediaWiki Interfaces
Wikimedia Foundation <https://wikimediafoundation.org/>
_______________________________________________
Wiki-research-l mailing list -- wiki-research-l(a)lists.wikimedia.org
To unsubscribe send an email to wiki-research-l-leave(a)lists.wikimedia.org
Hello,
I'm forwarding the below announcement of a workshop.
Here's a ZoneStamp which can be used to convert the workshop's start time
to your local time: https://zonestamp.toolforge.org/1782475200.
Regards,
Pine🌲
( https://meta.wikimedia.org/wiki/User:Pine )
---------- Forwarded message ---------
From: Barakat Adegboye via Wikimedia-l <wikimedia-l(a)lists.wikimedia.org>
Date: Mon, Jun 22, 2026 at 5:01 AM
Subject: [Wikimedia-l] This Friday: June 2026 EduWiki Workshop on PETScan
and AI
To: <wikimedia-l(a)lists.wikimedia.org>
Cc: Barakat Adegboye <barakat.adegboye(a)wmnobrasil.org>
[This email is available in English, العربية, Français, Español, 中文, and
Bahasa Indonesia. See translations below | هذا البريد الإلكتروني متاح
باللغات الإنجليزية والعربية والفرنسية والإسبانية والصينية والإندونيسية |
Cet e-mail est disponible en anglais, en arabe, en français, en espagnol,
en chinois et en indonésien | Este correo electrónico está disponible en
inglés, árabe, francés, español, chino e indonesio |
本邮件提供英语、阿拉伯语、法语、西班牙语、中文和印度尼西亚语版本 | Email ini tersedia dalam bahasa Inggris,
Arab, Prancis, Spanyol, Mandarin, dan Bahasa Indonesia]
*English*
Hello everyone,
*This Friday*, our June EduWiki Workshop will explore how Wikimedia
contributors can combine PETScan and generative AI tools to support smarter
and more efficient Wikipedia editing workflows.
If you have been curious about AI-assisted editing, interested in
discovering new Wikimedia tools, or looking for practical ways to make your
editing process more efficient, this session is for you.
*Date:* Friday, 26 June 2026
*Time:* 12:00 UTC
*Location:* Zoom
*Live Interpretation Support:* English, French, Arabic, Spanish, Chinese,
and Indonesian
*Registration is still open:* *https://w.wiki/QkTu* <https://w.wiki/QkTu>
We hope to see you this Friday.
Best regards,
------------------------------
*العربية*
مرحباً جميعاً،
*يوم الجمعة هذا*، ستتناول ورشة إديوويكي لشهر يونيو كيف يمكن لمساهمي
ويكيميديا الجمع بين PETScan وأدوات الذكاء الاصطناعي التوليدي لدعم عمليات
تحرير ويكيبيديا بشكل أكثر ذكاءً وكفاءة.
إذا كنت مهتماً بالتحرير المدعوم بالذكاء الاصطناعي، أو ترغب في اكتشاف أدوات
جديدة في ويكيميديا، أو تبحث عن طرق عملية لتحسين مساهماتك، فهذه الجلسة مخصصة
لك.
*التاريخ:* الجمعة، 26 يونيو 2026
*الوقت:* 12:00 بالتوقيت العالمي المنسق (UTC)
*المكان:* Zoom
*الترجمة الفورية:* الإنجليزية، العربية، الفرنسية، الإسبانية، الصينية،
والإندونيسية
*لا يزال التسجيل مفتوحاً:* *https://w.wiki/QkTu* <https://w.wiki/QkTu>
نتطلع إلى مشاركتكم يوم الجمعة.
مع أطيب التحيات،
------------------------------
*Français*
Bonjour à toutes et à tous,
*Ce vendredi*, notre atelier EduWiki de juin explorera comment les
contributeurs Wikimedia peuvent combiner PETScan et les outils
d'intelligence artificielle générative pour soutenir des processus de
contribution à Wikipédia plus intelligents et plus efficaces.
Si vous êtes curieux de découvrir l'édition assistée par l'IA, de nouveaux
outils Wikimedia ou des moyens pratiques d'améliorer vos contributions,
cette session est faite pour vous.
*Date :* Vendredi 26 juin 2026
*Heure :* 12h00 UTC
*Lieu :* Zoom
*Interprétation en direct :* anglais, français, arabe, espagnol, chinois et
indonésien
*Les inscriptions sont toujours ouvertes :* *https://w.wiki/QkTu*
<https://w.wiki/QkTu>
Nous espérons vous retrouver ce vendredi.
Cordialement,
------------------------------
*Español*
Hola a todos,
*Este viernes*, nuestro taller EduWiki de junio explorará cómo las personas
que contribuyen a Wikimedia pueden combinar PETScan y herramientas de
inteligencia artificial generativa para apoyar procesos de edición de
Wikipedia más inteligentes y eficientes.
Si tienes curiosidad por la edición asistida por IA, quieres descubrir
nuevas herramientas de Wikimedia o buscas formas prácticas de mejorar tus
contribuciones, esta sesión es para ti.
*Fecha:* Viernes, 26 de junio de 2026
*Hora:* 12:00 UTC
*Lugar:* Zoom
*Interpretación en vivo:* inglés, español, francés, árabe, chino e indonesio
*La inscripción sigue abierta:* *https://w.wiki/QkTu* <https://w.wiki/QkTu>
Esperamos contar con tu participación este viernes.
Saludos cordiales,
------------------------------
*中文*
大家好，
*本周五*，我们的 2026 年 6 月 EduWiki 工作坊将探讨维基媒体贡献者如何结合 PETScan
和生成式人工智能工具，以支持更智能、更高效的维基百科编辑工作流程。
如果您对人工智能辅助编辑感兴趣，希望了解新的维基媒体工具，或正在寻找提升编辑效率的实用方法，本次活动适合您参加。
*日期：* 2026 年 6 月 26 日（星期五）
*时间：* 12:00 UTC
*地点：* Zoom
*实时口译支持：* 英语、法语、阿拉伯语、西班牙语、中文和印度尼西亚语
*报名仍然开放：**https://w.wiki/QkTu* <https://w.wiki/QkTu>
期待本周五与您相见。
此致，
------------------------------
*Bahasa Indonesia*
Halo semuanya,
*Jumat ini*, Lokakarya EduWiki Juni 2026 akan membahas bagaimana
kontributor Wikimedia dapat menggabungkan PETScan dan alat AI generatif
untuk mendukung alur kerja penyuntingan Wikipedia yang lebih cerdas dan
efisien.
Jika Anda tertarik dengan penyuntingan berbantuan AI, ingin mengenal alat
Wikimedia baru, atau mencari cara praktis untuk meningkatkan kontribusi
Anda, sesi ini untuk Anda.
*Tanggal:* Jumat, 26 Juni 2026
*Waktu:* 12.00 UTC
*Lokasi:* Zoom
*Interpretasi langsung:* bahasa Inggris, Arab, Prancis, Spanyol, Mandarin,
dan Bahasa Indonesia
*Pendaftaran masih dibuka:* *https://w.wiki/QkTu* <https://w.wiki/QkTu>
Kami berharap dapat bertemu dengan Anda pada hari Jumat.
Salam hangat,
*Barakat Adegboye*
User: BAdegboye (EdWH)
Communications Assistant
_______________________________________________
Wikimedia-l mailing list -- wikimedia-l(a)lists.wikimedia.org, guidelines at:
https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
https://meta.wikimedia.org/wiki/Wikimedia-l
Public archives at
https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org…
To unsubscribe send an email to wikimedia-l-leave(a)lists.wikimedia.org
Forwarding some job listings, including selected quotes from the listings.
1. *https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/post_doctoral_researcher_15072
<https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/post_doctora…>*
- applications due 8 April. "The Max Planck Institute for Demographic
Research (MPIDR) is seeking to appoint a full-time post-doctoral researcher
to join the Research Group on Labor Demography." "We welcome applications
from researchers with a PhD in demography, statistics, sociology,
economics, epidemiology, public health, or allied fields." "Strong
quantitative analysis skills are required, as is knowledge of R, Stata, or
Python."
2. *https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/max_planck_postdoc_positions_on_artefacts_for_the_social_sciences_15266
<https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/max_planck_p…>*
-
applications due 13 April. "The Max Planck Institute for Software Systems
(Kaiserslautern and Saarbruecken), the Max Planck Institute for Security
and Privacy (Bochum), The Max Planck Institute for Demographic Research
(Rostock), and the Max Planck Institute for the Study of Crime, Security
and Law (Freiburg) are jointly recruiting up to 8 highly qualified
Post-Docs interested in Computational Social Science. This application call
is targeted to the broad topic of artificial intelligence, computing, and
society."
3. *https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/doctoral_student_position_15039
<https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/doctoral_stu…>*
-
applications due 15 April. "The Max Planck Institute for Demographic
Research (MPIDR) is inviting applications from qualified and highly
motivated students for a doctoral student position in the Lab of Migration
and Mobility of the Department of Digital and Computational Demography."
"The Lab of Migration and Mobility of the Department of Digital and
Computational Demography, headed by MPIDR Director Emilio Zagheni, is
looking for candidates with strong quantitative and programming skills, and
with research interests in the fields of demography, migration studies,
science of science, and computational social science."
Pine🌲
Forwarding to the Research-l and AI lists.
Pine🌲
---------- Forwarded message ---------
From: (:Julien:) via Wikimedia-l <wikimedia-l(a)lists.wikimedia.org>
Date: Mon, Mar 9, 2026 at 10:05 AM
Subject: [Wikimedia-l] Wikimania 2026: Research track open till March 31st
To: <wikimedia-l(a)lists.wikimedia.org>
Cc: <fayolle.julien(a)gmail.com>
Hi all,
I'm a member of Wikimania (July 21-25 in Paris) program committee for the
research track. The research track is open until **March 31st**. The other
tracks are closed.
The research track accepts proposal by both professional researchers and
Wikimedians. Our goal is to foster discussions between the research
community and the Wikimedia communities, mostly regarding structural
changes or challenges for the future of our projects. The effects of
generative AI, community growth & diversity, and "reliability at scale" are
themes we envision but several others are possible as long as they stay on
the broad themes: Freedom, Equity, and Reliability.
You can find more details here:
https://wikimania.wikimedia.org/wiki/2026:Program/Research
If you need additional information, feel free to reach me.
Have a nice day,
Julien.
_______________________________________________
Wikimedia-l mailing list -- wikimedia-l(a)lists.wikimedia.org, guidelines at:
https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
https://meta.wikimedia.org/wiki/Wikimedia-l
Public archives at
https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org…
To unsubscribe send an email to wikimedia-l-leave(a)lists.wikimedia.org
Forwarding this invite to additional people who may wish to participate or
watch the recording.
Thanks, Kinneret. These presentations sound very interesting.
Pine🌲
---------- Forwarded message ---------
From: Kinneret Gordon via Analytics <analytics(a)lists.wikimedia.org>
Date: Mon, Feb 23, 2026 at 5:23 AM
Subject: [Analytics] [Wikimedia Research Showcase] AI and Communities -
February 25 at 17:30 UTC
To: <wiki-research-l(a)lists.wikimedia.org>, <
foundation-optional(a)wikimedia.org>, <wikimedia-l(a)lists.wikimedia.org>, <
analytics(a)lists.wikimedia.org>
Cc: Kinneret Gordon <kgordon(a)wikimedia.org>
Hi everyone,
The February 2026 Research Showcase will be live-streamed this Wednesday,
February 25, at 9:30 AM PT / 17:30 UTC. Find your local time here
<https://zonestamp.toolforge.org/1772040600>. Our theme this month is *AI
and Communities*.
*We invite you to watch via the YouTube
stream: https://www.youtube.com/live/qW5IQJv84HY
<https://www.youtube.com/live/qW5IQJv84HY>.* As always, you can join the
conversation in the YouTube chat as soon as the showcase goes live.
This month, we will have two presentations:
*LLMs in Wikipedia: Investigating How LLMs Impact Participation in
Knowledge Communities*By *Moyan Zhou (University of Minnesota)*Large
language models (LLMs) are reshaping knowledge production as community
members increasingly incorporate them into their contribution workflows.
However, participating in knowledge communities involves more than just
contributing content - it is also a deeply social process shaped by
members' level of expertise. While communities must carefully consider
appropriate and responsible LLM integration, the absence of concrete norms
has left individual editors to experiment and navigate LLM use on their
own. Understanding how LLMs influence community participation across
expertise levels is therefore critical in shaping future norms and
supporting effective adoption. To address this gap, we investigated
Wikipedia, one of the largest knowledge production communities, to
understand participation in three dimensions: 1) how LLMs influence the
ways editors gather knowledge, 2) how editors leverage strategies to align
LLM outputs with community norms, and 3) how other editors in the community
respond to LLM-assisted contributions. Through interviews with 16 Wikipedia
editors with different levels of expertise who had used LLMs for their
edits, we revealed a participation gap mediated by expertise in adopting
LLMs in knowledge contributions across knowledge gathering, alignment with
community norms, and peer responses. Based on these findings, we challenge
existing models of novice editors' involvement and propose design
implications for LLMs that support community engagement, highlighting
opportunities for LLMs to sustain mentorship, knowledge transmission, and
legitimacy building by scaffolding and feedback, process documentation, and
LLM disclosure by good-faith editors.*AI Didn't Start the Fire: Examining
the Stack Exchange Moderator and Contributor Strike*By *Yiwei Wu
(University of Texas at Austin)*Online communities and their host platforms
are mutually dependent yet conflict-prone. When platform policies clash
with community values, communities have resisted through strikes,
blackouts, and even migration to other platforms. Through such collective
actions, communities have sometimes won concessions, but these have
frequently proved to be temporary. Although previous research has
investigated strike events and migration chains, the processes by which
community-platform conflict unfolds remain obscure. How do
community-platform relationships deteriorate? How do communities organize
collective action? How do the participants proceed in the aftermath? We
investigate a conflict between the Stack Exchange platform and community
that occurred in 2023 around an emergency arising from the release of large
language models (LLMs). Based on a qualitative thematic analysis of 2,070
messages from Meta Stack Exchange and 14 interviews with community members,
we reveal how the 2023 conflict was preceded by a long-term deterioration
in the community-platform relationship, driven in particular by the
platform's disregard for the community's highly valued participatory role
in governance. Moreover, the platform's policy response to LLMs aggravated
the community's sense of crisis, triggering strike mobilization. We analyze
how the mobilization was coordinated through a tiered leadership and
communication structure, as well as how community members pivoted in the
aftermath. Building on recent theoretical scholarship in social computing,
we use Hirschman's exit, voice, and loyalty framework to theorize the
challenges of community-platform relations evinced in our data. Finally, we
recommend ways that platforms and communities can institute participatory
governance to be durable and effective.
Looking forward to seeing many of you,
Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>
*Learn more about Wikimedia Research <https://research.wikimedia.org/>*
_______________________________________________
Analytics mailing list -- analytics(a)lists.wikimedia.org
To unsubscribe send an email to analytics-leave(a)lists.wikimedia.org
Hello,
Happy second week of February. This email describes two job postings that
may interest you or your colleagues. Earlier emails were sent to
Wiki-research-l
<https://lists.wikimedia.org/postorius/lists/wiki-research-l.lists.wikimedia…>
regarding these positions; please disregard the this email if you already
saw the info via Research-l. I'm consolidating info from both posts.
Position 1, posted at
https://www.demogr.mpg.de/en/career_6122/jobs_fellowships_1910/postdoctoral…,
is for a *postdoctoral researcher*. Quoting from the posting:
“Applications are invited from candidates *who have, or will soon obtain*,
a PhD in demography, sociology, epidemiology, medicine, health economics,
biostatistics, public health, or a related field.
"The successful candidate is expected to work within one or more of the
following areas:
1.
*Disease Presence and Disease Impact*
1.
Has disease presence become more or less predictive of disease
impact?
2.
How do the timing and patterns of disease accumulation shape the
onset of disease impact and individual health trajectories, including
pathways to death?
2.
*Diffusion of Medical Progress in Populations*
1.
How does medical progress shape health inequalities within
populations?
2.
How are changes in population health linked to how medical progress
is distributed within and across populations, for example through in- and
outpatient care?
3.
*Population Resilience and Vulnerability*
1.
How can population resilience and vulnerability be measured?
2.
Does medical progress make populations more or less vulnerable?”
Position 2 is for a *principal research scientist*. The job posting is at
https://job-boards.greenhouse.io/wikimedia/jobs/7597104. Quoting Leila (who
is CC'd on this email): “Please note
that if you have applied for the research scientist position which was
shared
<
https://lists.wikimedia.org/hyperkitty/list/wiki-research-l@lists.wikimedia…>
in December 2025, you are automatically considered for this new position
and there is no need to apply again. We will reach out to you if we need
additional information from you.”
Quoting from the job description:
“We are hiring a Principal Research Scientist to join the Wikimedia
Foundation’s Research team <https://research.wikimedia.org/team.html> to
support the Wikimedia communities and the Wikimedia Foundation in the
continued evolution of Wikimedia projects and their decentralized
governance model, ensuring that the projects become multigenerational
<https://meta.wikimedia.org/wiki/Strategy/Multigenerational>.
"Here are some things we’ve worked on that might give you a better sense of
the scope of the work you will be accountable for and part of:
-
Understanding Wikipedia administrator recruitment, retention, and
attrition (Learn more
<https://meta.wikimedia.org/wiki/Research:Wikipedia_Administrator_Recruitmen…>)
-
A set of recommendations for conducting NPOV research on Wikipedia (Learn
more
<https://meta.wikimedia.org/wiki/Research:Guidance_for_NPOV_Research_on_Wiki…>)
-
Developing a meta-method for analyzing the state of NPOV on Wikipedia (Learn
more
<https://meta.wikimedia.org/wiki/Research:A_meta-method_for_analyzing_NPOV_o…>)
"You can learn more about what the team has done in the past six months by
reading our biannual report <https://research.wikimedia.org/report.html>.
"Please note: this is a fully remote role that requires working with senior
leadership and stakeholders across the organization and the research
community in different timezones. It is expected that the Principal
Research Scientist be available for critical meetings and synchronous work
between 15:00 to 19:00 UTC. It is further expected that the candidate is
open to traveling up to four times per year.”
Leila posted some additional information on the Research mailing list. The
thread is viewable at
https://lists.wikimedia.org/hyperkitty/list/wiki-research-l@lists.wikimedia…
<https://lists.wikimedia.org/hyperkitty/list/wiki-research-l@lists.wikimedia…>
Good luck to any applicants.
(Disclaimer: I'm not an employee of either of the hiring organizations.
Please direct any questions to the applicable organization.)
Regards,
Pine🌲
Hello,
I am writing my PhD thesis on Wikipedia, and I found the content you have
written very interesting. Is it possible to have further information about
it?
Regards,
Sahire ARSLAN
On Fri, Jan 30, 2026 at 3:00 PM <ai-request(a)lists.wikimedia.org> wrote:
> Send AI mailing list submissions to
> ai(a)lists.wikimedia.org
>
> To subscribe or unsubscribe, please visit
>
> https://lists.wikimedia.org/postorius/lists/ai.lists.wikimedia.org/
>
> You can reach the person managing the list at
> ai-owner(a)lists.wikimedia.org
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of AI digest..."Today's Topics:
>
> 1. Fwd: [Wikimedia-l] Published: WMCH roundtable report on “Collective
> Intelligence vs Artificial Intelligence” – why we did it and what’s next
> (Pine W)
>
>
>
> ---------- Forwarded message ----------
> From: Pine W <wiki.pine(a)gmail.com>
> To: futureslab(a)wikimedia.de, Wikimedia AI Discussion List <
> ai(a)lists.wikimedia.org>, Wiki Research-l <
> wiki-research-l(a)lists.wikimedia.org>
> Cc: valdelli(a)gmail.com
> Bcc:
> Date: Thu, 29 Jan 2026 11:07:39 -0800
> Subject: [AI] Fwd: [Wikimedia-l] Published: WMCH roundtable report on
> “Collective Intelligence vs Artificial Intelligence” – why we did it and
> what’s next
> Forwarding an email that may be of interest to subscribers of additional
> email lists, and to the Futures Lab team.
>
> Pine🌲
>
>
> ---------- Forwarded message ---------
> From: Ilario valdelli via Wikimedia-l <wikimedia-l(a)lists.wikimedia.org>
> Date: Thu, Jan 29, 2026 at 9:01 AM
> Subject: [Wikimedia-l] Published: WMCH roundtable report on “Collective
> Intelligence vs Artificial Intelligence” – why we did it and what’s next
> To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org>
> Cc: Ilario valdelli <valdelli(a)gmail.com>
>
>
> Dear all,
>
> I’d like to share that Wikimedia CH and Open Future have published the
> report from our Lausanne roundtable “Collective Intelligence vs Artificial
> Intelligence” (4 Nov 2025), co-organised with Open Future and IMD Business
> School.
>
> I also want to add a bit of context on *why* we did this, because it
> comes out of a very concrete moment for many of us: over the past year, it
> has sometimes felt like “Wikimedia + AI” discussions were happening
> everywhere, yet at the same time the community’s shared space for
> sensemaking was getting thinner — less clarity, less common ground, and
> more uncertainty about where to focus limited time and resources.
> Internally at WMCH, we reached a point where we needed to step back and
> ask: *what should we do in this period, and where should we allocate our
> resources in a way that is useful for the Movement?*
>
> From that starting point, we began working with external partners to
> improve our understanding of what is changing in the information ecosystem.
> Among others, we exchanged with the AI research ecosystem in Switzerland
> (e.g., IDSIA - Dalle Molle Institute for Artificial Intelligence of Lugano)
> and, together with input from Open Future, we converged on a simple idea:
> instead of debating AI only through the lens of “editing with AI tools”, we
> should widen the circle and ask experts from outside the Movement what they
> see coming — and what it could mean for a knowledge commons like Wikimedia.
>
> That led to the Lausanne roundtable: a deliberately “cross-ecosystem”
> discussion with people working in areas such as AI development and data
> science, journalism and media, research, and public-interest policy,
> alongside people from the Wikimedia ecosystem. The goal was not to produce
> a single answer, but to map the key tensions and update our collective
> assumptions about the near future — and to do it in a way that is
> transparent and shareable with the wider community.
>
> The report summarises those insights and frames the emergence of a “new
> knowledge loop”, in which AI services increasingly become interfaces to
> knowledge. One concern raised is disintermediation: Wikimedia content can
> be heavily used by machines while fewer humans visit Wikimedia projects
> directly — with potential consequences for participation, feedback loops,
> and long-term sustainability. At the same time, the report argues there is
> no “going back”: AI influence is not avoidable, and the open question is
> how collective intelligence and AI can be combined while keeping Wikimedia
> human-centred.
>
> A quick note on intent and framing: this is a *civic sensemaking* effort.
> It is not a proposal to restrict open access for people, and it is not an
> attempt to tell the Movement what to do. The underlying question is: *how
> do we keep the commons open and accessible to everyone, while making its
> large-scale reuse sustainable and accountable?* In other words, how do we
> avoid a future where knowledge remains technically “open” but becomes
> practically concentrated behind a few AI interfaces?
>
> This report is also meant as a first step. There is the plan to develop a
> draft white paper in 2026, building on these insights, to outline possible
> strategic directions and reactions — not only for WMCH, but as a
> contribution that other communities, affiliates, and interested Wikimedians
> can critique, improve, and build on.
>
> Links:
>
> - Meta page (context + deliverables):
> https://meta.wikimedia.org/wiki/Wikimedia_CH/Innovation/CI_vs_AI#Deliverabl…
> - PDF on Commons:
> https://commons.wikimedia.org/wiki/File:Wikimedia_CH_REPORT_AI_v4_web.pdf
>
> Feedback is very welcome.
> --
> Ilario Valdelli
> Innovation programme lead
> Wikimedia CH
> Verein zur Förderung Freien Wissens
> Association pour l’avancement des connaissances libre
> Associazione per il sostegno alla conoscenza libera
> http://www.wikimedia.ch
> _______________________________________________
> Wikimedia-l mailing list -- wikimedia-l(a)lists.wikimedia.org, guidelines
> at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
> https://meta.wikimedia.org/wiki/Wikimedia-l
> Public archives at
> https://lists.wikimedia.org/hyperkitty/list/wikimedia-l@lists.wikimedia.org…
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>
Forwarding an email that may be of interest to subscribers of additional
email lists, and to the Futures Lab team.
Pine🌲
---------- Forwarded message ---------
From: Ilario valdelli via Wikimedia-l <wikimedia-l(a)lists.wikimedia.org>
Date: Thu, Jan 29, 2026 at 9:01 AM
Subject: [Wikimedia-l] Published: WMCH roundtable report on “Collective
Intelligence vs Artificial Intelligence” – why we did it and what’s next
To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org>
Cc: Ilario valdelli <valdelli(a)gmail.com>
Dear all,
I’d like to share that Wikimedia CH and Open Future have published the
report from our Lausanne roundtable “Collective Intelligence vs Artificial
Intelligence” (4 Nov 2025), co-organised with Open Future and IMD Business
School.
I also want to add a bit of context on *why* we did this, because it comes
out of a very concrete moment for many of us: over the past year, it has
sometimes felt like “Wikimedia + AI” discussions were happening everywhere,
yet at the same time the community’s shared space for sensemaking was
getting thinner — less clarity, less common ground, and more uncertainty
about where to focus limited time and resources. Internally at WMCH, we
reached a point where we needed to step back and ask: *what should we do in
this period, and where should we allocate our resources in a way that is
useful for the Movement?*
From that starting point, we began working with external partners to
improve our understanding of what is changing in the information ecosystem.
Among others, we exchanged with the AI research ecosystem in Switzerland
(e.g., IDSIA - Dalle Molle Institute for Artificial Intelligence of Lugano)
and, together with input from Open Future, we converged on a simple idea:
instead of debating AI only through the lens of “editing with AI tools”, we
should widen the circle and ask experts from outside the Movement what they
see coming — and what it could mean for a knowledge commons like Wikimedia.
That led to the Lausanne roundtable: a deliberately “cross-ecosystem”
discussion with people working in areas such as AI development and data
science, journalism and media, research, and public-interest policy,
alongside people from the Wikimedia ecosystem. The goal was not to produce
a single answer, but to map the key tensions and update our collective
assumptions about the near future — and to do it in a way that is
transparent and shareable with the wider community.
The report summarises those insights and frames the emergence of a “new
knowledge loop”, in which AI services increasingly become interfaces to
knowledge. One concern raised is disintermediation: Wikimedia content can
be heavily used by machines while fewer humans visit Wikimedia projects
directly — with potential consequences for participation, feedback loops,
and long-term sustainability. At the same time, the report argues there is
no “going back”: AI influence is not avoidable, and the open question is
how collective intelligence and AI can be combined while keeping Wikimedia
human-centred.
A quick note on intent and framing: this is a *civic sensemaking* effort.
It is not a proposal to restrict open access for people, and it is not an
attempt to tell the Movement what to do. The underlying question is: *how
do we keep the commons open and accessible to everyone, while making its
large-scale reuse sustainable and accountable?* In other words, how do we
avoid a future where knowledge remains technically “open” but becomes
practically concentrated behind a few AI interfaces?
This report is also meant as a first step. There is the plan to develop a
draft white paper in 2026, building on these insights, to outline possible
strategic directions and reactions — not only for WMCH, but as a
contribution that other communities, affiliates, and interested Wikimedians
can critique, improve, and build on.
Links:
- Meta page (context + deliverables):
https://meta.wikimedia.org/wiki/Wikimedia_CH/Innovation/CI_vs_AI#Deliverabl…
- PDF on Commons:
https://commons.wikimedia.org/wiki/File:Wikimedia_CH_REPORT_AI_v4_web.pdf
Feedback is very welcome.
--
Ilario Valdelli
Innovation programme lead
Wikimedia CH
Verein zur Förderung Freien Wissens
Association pour l’avancement des connaissances libre
Associazione per il sostegno alla conoscenza libera
http://www.wikimedia.ch
_______________________________________________
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