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#Deliverables * 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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