Help us uncover how organizations can use AI in a human-centered, responsible manner.
A collaborative action research project run by volunteers to uncover how organizations can harness the power of AI effectively, responsibly and in a manner that empowers employees and teams.
"To uncover how organizations can leverage the power of artificial intelligence in a manner that is human-centered, responsible and . What principles, rules, norms, interventions, processes and strategies are needed to achieve this? How can this be monitored?"
Participatory action research
Practitioners and scientists work together, iteratively, to address a real societal challenge — combining field experience with academic rigor. This is not research done about organizations, but with them.
The people behind this initiative
Facilitated workgroups
We form workgroups of 12–20 people, consisting of academics and practitioners. Workgroups meet online or face-to-face several times over several months to develop, iterate and test the framework collaboratively. Facilitated by us with Liberating Structures.
Who's in the room
A deliberate mix of practitioners and academics. Voluntary participation only.
Time commitment
3 sessions of 3–4 hours over several months, plus optional work between sessions. We can add more sessions together.
Format
Online, face-to-face, or run entirely inside one organization for deeper internal buy-in.
Shared outcome
Every workgroup contributes to the same evolving framework, wherever it runs.
Disseminate & collect data
The workgroup shares and pools data — from world cafes, existing research, academic studies, and participants' own organizational experiences. Everyone arrives as both contributor and learner.
Analyse collaboratively
Participants surface patterns, tensions, and insights together — findings neither academics nor practitioners would reach alone. Facilitation keeps it rigorous and grounded.
Improve the framework
Insights are translated directly into the shared framework — refining its principles, questions, and practices. It's a living document, not a final product.
Test in practice
Participants take the updated framework back into their organizations. What works, what doesn't, and what surprises them feeds directly into the next cycle.
What we plan to create collaboratively
Framework
Practical guidance for , human-centered, responsible AI adoption — and how to monitor it.
◐ Creative Commons 4.0 BY-SA-NCPublications
Studies submitted to peer-reviewed journals from findings across all workgroups.
Tools
Platforms like Columinity will let organizations measure how well they're living up to the aim.
The evidence we will build on
World Cafes
Field perspectives, scalable beyond Western Europe with a ready facilitation guide.
Academic studies
Peer-reviewed work, including studies produced within the workgroup process itself.
Existing research
Partner studies and datasets integrated as the research evolves.
Your perspective
What does your organization find challenging — and what have you already learned?
With participants from
Choose how you want to contribute
This research only works because people bring real experience to it. Choose how you want to contribute.
Curious about the research and how it works? Join a free online meetup where we introduce the initiative, explain how you can get involved, and answer your questions.
- Free online session — join from anywhere
- An introduction to the research and how to take part
- Space to ask questions and meet the team
Help us by collecting experiences from within your organization. Use our facilitation guide to run a structured conversation about AI in your workplace. Share the outcomes with us so that the workgroups can integrate your lessons and experiences into the framework.
- Ready-to-use facilitation guide provided
- One 100-120 minute session for 15-25 participants ideally
- Outcomes shared anonymously with workgroups
Bring your AI challenges, experiences and dilemmas into a faciliated workgroup, and learn alongside peers from other organizations and academia.
- Bring real challenges, learn from others
- Connect with other organizations and researchers
- If you sign up, please put in your best effort to attend all three session — each session builds directly on the previous one as we collaboratively develop and iterate the framework together
Not sure if you're a good fit? You are if you have some experience with AI and are motivated to answer questions about human-centered AI. You do not need to be an expert or academic.
We are running several workgroups in parallel. Pick the series that suits your location and availability:
- Session 1Friday, October 2 · 13:00–16:00 (CEST)
- Session 2Friday, November 13 · 13:00–16:00 (CEST)
- Session 3Friday, December 11 · 13:00–16:00 (CEST)
- Session 1Monday, November 2 · 9:30–11:30 (CEST)
- Session 2Monday, November 30 · 9:30–11:30 (CEST)
- Session 3Monday, December 21 · 9:30–11:30 (CEST)
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details to be announced- Session 1To be announced
- Session 2To be announced
- Session 3To be announced
None of these dates work? Let us know.