Utopian governance using generative AI

Electrohabermas, digital deliberation

2025-10-27 — 2025-10-27

Wherein an account is given of generative AI employed as a Habermas Machine to mediate local deliberations, through statements described as clear, logical and informative, aiding consensus on Brexit, immigration and welfare.

adversarial
AI safety
bounded compute
communicating
cooperation
culture
economics
extended self
faster pussycat
incentive mechanisms
institutions
language
machine learning
markets
mind
money
neural nets
NLP
security
technology
wonk
Figure 1

The complement to AI disempowerment of humans is Utopian governance enabled by generative AI. What’s the best, kindest, wisest collective behaviour we could achieve with generative AI assisting with governance? With discussion?

Not the same as wondering how we might democratize AI although that is also interesting.

1 AI for discussion and deliberation

To act collectively, groups must reach agreement; however, this can be challenging when discussants present very different but valid opinions. Tessler et al. (2024). investigated whether artificial intelligence (AI) can help groups reach a consensus during democratic debate (see Nyhan and Titiunik (2024) ). The authors trained a large language model called the Habermas Machine to serve as an AI mediator that helped small UK groups find common ground while discussing divisive political issues such as Brexit, immigration, the minimum wage, climate change, and universal childcare. Compared with human mediators, AI mediators produced more palatable statements that generated wide agreement and left groups less divided. The AI’s statements were more clear, logical, and informative without alienating minority perspectives. This work carries policy implications for AI’s potential to unify deeply divided groups. —Ekeoma Uzogara

2 Incoming

Theory, methods, case studies

3 References

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