01 / sovereignty
Sovereign by default
Each institution hosts its own node: its data, its applications, optionally its own models. It runs with commercial AI, with local AI, or with no generative AI at all — including offline.
A commons carried by AI4Ed within the Swiss Informatics Society
Athena AI Hub
An open, federated ecosystem for education
Act locally. Share ethically. Think globally. — always with the learner at the centre.
Every institution or stakeholder can deploy its own infrastructure, create its own nodes, and freely choose to connect them to the network. Nothing obliges anyone to join, and nothing prevents anyone from leaving.
no centre·
signed manifests·
learner data stays home·
works online or offline·
no lock-in
What it is
Not a platform. An ecosystem.
This network is not imposed by a central platform: it emerges gradually from collaboration, from shared resources and from the exchanges between its members.
Like the Internet, everyone acts locally and keeps control of their own data and their own choices, while contributing to knowledge shared on a global scale.
The principle is deliberately inverted
Rather than distributing ready-made educational tools, Athena shares prompts, guidelines, knowledge frameworks, contextual elements and methods.
So that each community can build its own solutions, adapted to its learners, its culture and its needs — and so that a resource made in Geneva can be understood, adapted and improved in Singapore without being flattened into something generic.
The architecture
How a node works
A node is the infrastructure an institution sets up and governs locally. Four fundamental properties define it. They are not negotiable, because they are what keeps the ecosystem ethical, sovereign and centred on the learner.
02 / provenance
Signed manifests
Every resource travels with its attribution, its provenance and the information needed to guarantee its integrity — so the teachers and contributors who designed it remain identifiable, recognised and credited for their work.
03 / portability
Composable Context Stack
Share not only the final resource, but also the process, the context and the choices that produced it — so that a stakeholder in another culture, another language or another educational context can understand it, adapt it and develop it further, while keeping the trace of its origin and its transformations.
04 / the invariant
Learner First
Every technical, economic or political choice must be justifiable by its benefit or safety for the learner. Version 1 exchanges resources between teachers only: no learner data is transmitted.
Where the project is
Concentric circles, no leaps
Geneva first, for the protocol. Then French-speaking Switzerland through the sections of the Swiss Informatics Society, to prove it works between institutions. Then further out. Each stop is itself a network, which is the whole point.
- since 2024 AI Lunch-Cafés, Geneva About ten schools. An hour, a sandwich, and one honest question about what AI does to the work of teaching. The community existed before the technology — which is unusual, and is the project's real asset.
- Dubai, 2025 The philosophy A first international presentation of the principles: sovereignty, ethics, the learner at the centre.
- Las Vegas, 2026 The direction The same principles, with a shape beginning to appear behind them.
- Singapore, 2–4 December 2026 The architecture What happens once a philosophy becomes something you can install. Education 2.0 Conference, under the theme The Great Education Reboot. See the Singapore page
- next Beyond Geneva French-speaking Switzerland through the SI sections, then intercultural adaptation with partners in Asia and Europe. In that order, without skipping a step.
Honest status
Where Athena stands today
Athena AI Hub brings together an already defined educational, technical, governance and economic framework, supported by reference components and practical use cases that are progressively implemented and tested.
- Educational, technical, governance and economic frameworkdefined
- Resource Manifest, signedimplemented
- Federated catalogue and discoveryprototyped
- Transfer by content hashprototyped
- Composable Context Stack, first versionprototyped
- Optional local AI · offline import and exportprototyped
- Two pilot nodes in Geneva: Collège Voltaire and CFP Artsin preparation
Maturity scale: defined → prototyped → implemented → tested → piloted → validated → operational. Each component carries the stage it has actually reached, not the one it is heading for.
What does not exist yet is the network itself. A network is not something one institution can build alone.
The test that matters is not the first node. It is the second one, installed by someone else, working without depending on the first.
The project is carried by
President, AI4Ed · Board Member, Swiss Informatics Society
Dr Johann Sievering
Johann Sievering is a Swiss computer scientist working at the crossroads of artificial intelligence and education. He holds a PhD in Computer Science from the University of Geneva, where his research addressed software agents and dynamic knowledge representation.
His work sits between scientific research and the reality of the classroom: teaching, software development, and the design of learning environments where practitioners can experiment with AI.
At the heart of this work lies a central principle: technology must remain in the service of people and of society.
He advocates an artificial intelligence that is learner-centred, ethical, inclusive, collaborative, and respectful of human agency and data sovereignty.
Act locally, share ethically, think globally — always with the learner at the centre.
Swiss Informatics Society
Switzerland's national association of informatics professionals. Since 1983 it has connected academia, industry, public institutions and education to advance digital competence, responsible innovation and a sustainable digital society.
AI4Ed
The SI interest group dedicated to artificial intelligence in education. It coordinates the co-creation of responsible AI practices for teaching and learning across institutions, and is the neutral home of the Athena commons.
Get in touch
Contact
Would you like to set up a node, contribute to the specification, or simply follow how Athena AI Hub develops? Write to us. Every message is read by a person, and every message helps the project evolve.