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Fair algorithms for selecting citizens’ assemblies

Sortition algorithms have been designed to select participants according to quotas, balancing representativeness, fairness and manipulation resistance (Flanigan, 2021; Baharav, 2024).

Research
Link https://www.nature.com/articles/s41586-021-03788-6
Creators Bailey Flanigan, Paul Gölz, Anupam Gupta, Brett Hennig and Ariel D. Procaccia
Year 2021

Related Capabilities

Select participants

Representativeness
Ability to fairly select participants according to some definition of representation.
Resources (4) Research Questions (6) Product Gaps (1)

Resist manipulation

Urgent Robustness
Ability to resist manipulation that would decrease trustworthiness, legitimacy or unfairly influence the outcome.
Resources (6) Research Questions (8) Product Gaps (1)

Related Research Questions

What are the limits of intersectional representation in sortition algorithms and where are trade-offs most present?

Relevant disciplines
Statistics & Sampling Ethics & Philosophy
Related Capabilities
Select participants

How can we distinguish between legitimate persuasion and manipulative influence in deliberative settings?

Urgent
Relevant disciplines
Psychology Ethics & Philosophy
Related Capabilities
Resist manipulation