Citizens’ assemblies depend on algorithmic fairness for their own legitimacy. Recent research focuses on how to select and structure assemblies using transparent, auditable algorithms.
- Fair selection algorithms use optimization and randomization to build representative panels - nature.com 
- Sortition Foundation maintains open-source selection software used in multiple UK and EU assemblies - sortitionfoundation.org
- Researchers have proposed simulated annealing methods for balanced participant selection - arxiv.org
- Mixing algorithms help organizers rotate groups to maximize diversity during deliberation - citizensassembly.ie
- Scientific American explains how fairness algorithms underpin sortition and deliberative legitimacy - scientificamerican.com
The algorithmic design of assemblies—selection, rotation, and fairness—offers a model for democratic algorithm development more broadly. Transparency in assembly software parallels demands for transparency in government and corporate AI systems.