Simulate prototyping

Simulated participants built with imitation learning have been used to provide high-volume feedback on possible income redistribution policies (DeepMind, 2022).

Deliberativa headed 'deliberative labs' ahead of both global citizens' assemblies to test out methodological questions of time e.g. best method for multi-lingual deliberation or data capture.

Paper proposes training LLMs as "digital representatives" that can stand in for individual humans in collective decision-making processes, expressing their preferences in group interactions like consensus-finding. It explains the concept of digital representation, defines metrics for evaluating ...

Introduces Plurals, a Python library for pluralistic AI deliberation using simulated social ensembles with LLM Agents, customizable Structures inspired by deliberative democracy, and Moderators overseeing discussions. The system integrates government datasets to create nationally representative p...

This paper propose a novel research agenda focusing on ‘utopian’ democratization efforts with formal and computational methods as well as with artificial intelligence – this agenda is labelled ‘Artificial Utopia’. Artificial Utopias provide safe testing grounds for new political ideas and economi...

Several have explored versions of this idea, under the keywords 'AI-as-representative' (Collins, 2023), 'voting avatars' (Grandi, 2018), and 'virtual democracy' (Kahng et al., 2019), 'plurals' (Ashkinaze et al., 2024) and 'simulated deliberative democracy' (Leike, 2023).

Proposes using imitation learning on large language models trained on recorded deliberative democracy sessions to answer value-laden questions at scale. The approach involves recording human 'mini-publics' deliberating complex value questions with AI assistance, then training models to simulate t...