Around the world, citizens’ assemblies and juries are being used to shape how artificial intelligence is developed and governed. These experiments connect public deliberation with algorithm design and oversight.
- The Ada Lovelace Institute and NIHR ran UK citizens’ juries on data-driven healthcare and algorithmic transparency - adalovelaceinstitute.org 
- The RSA created a citizens’ jury to deliberate AI decision-making ethics - thersa.org
- Brussels FARI coordinated a citizen jury on socially acceptable AI - fari.brussels
- DeepMind’s “Democratic AI” experiment used collective preferences to train fairer allocation algorithms - nature.com
- Connected by Data proposed global citizens’ assemblies on AI, linked to international summits and governance reviews - connectedbydata.org
- UN-affiliated reports have suggested embedding citizens’ assemblies into global AI ethics frameworks - unglobalpulse.org
- Academic work on “Deliberative democracy in an algorithmic society” argues for public participation in crafting AI rules - springer.com
- AI-assisted deliberation studies explore machine summarizers and mediation tools that can scale citizen input - dl.acm.org
Together these cases outline a bidirectional future: citizens’ assemblies help design and oversee algorithms, while algorithms help scale and support assemblies.