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Artificial Intelligence (AI) is rapidly becoming one of the most significant forces shaping how data is consumed, processed, and shared. As AI adoption accelerates, IDSA members have raised a growing demand for guidance on the interplay between data spaces and AI. This Task force builds on the previous work from the WG Architecture and Rulebook on this field.
Key topics the community has identified include:
- A general understanding of how data spaces and AI relate to each other
- Clear AI rules within data spaces — e.g. when AI may consume data (RAG, analytics) and when not (model training without consent)
- AI tools and AI agents as participants in a data space, including required interfaces and constraints
- Technical interaction patterns — e.g. sequence diagrams showing RAG access, model use, and agent↔connector interactions under policy enforcement
Because this topic touches multiple bodies of the association, a dedicated task force has been formed to organize the work into meaningful, usable and valuable outcomes for the ecosystem.
Define how AI fits into data spaces — as a consumer of data, as a participant and as a subject of governance and provide the IDSA community with practical guidance, reusable templates and a clear roadmap for deeper work.
The task force operates as an open, member-driven working group. We meet bi-weekly via video call and collaborate asynchronously through this GitHub repository.
- Meeting agendas and notes are published in the
/meetingsfolder - Open questions and decisions are tracked as GitHub Issues
- All outputs are developed transparently and versioned here
To get involved, see How to Contribute below.
The task force starts in April targets a 9-month working period, resulting in various deliverables contributing to existing IDSA assets and position paper(s) on AI and Data Spaces.
| Phase | Timeframe | Focus | Output |
|---|---|---|---|
| 1 — Scoping | April | Align on scope, use cases and key questions | Shared problem statement and identified outcome(s) (TBD) |
| 2 — Development | May | Develop content across topic areas | Additions to IDSA Rulebook and/or IDS RAM, a position paper (TBD) |
| 3 — Review & Publication | mid-June | Community review and consolidation | Position paper v1.0 (TBD) |
| 4 — Reconvention and Review of Backlog | September | Review of Backlog Items, Evaluation of the Feedback Collected | (TBD) |
The easiest way to get involved is to fill in this form
We welcome participation from IDSA members, data space implementers, AI practitioners, and anyone with a stake in trusted data sharing.
| Name | Organization | Role |
|---|---|---|
| TBD | Member | |
| TBD | Member |
This work is published under Creative Commons Attribution 4.0 International (CC BY 4.0).
You are free to share and adapt the material, provided appropriate credit is given.
International Data Spaces Association · internationaldataspaces.org