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Habermas Machine

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.

Research
Creators Michael Henry Tessler, Michiel A. Bakker, David Jarrett, Raphael Koster, Stephen Driscoll, Lisa Anne Hendricks, Mia Chiquier, Seliem El-Sayed, Saffron Huang, Kate Larson, Edith Elkind, Geoff Keeling, Jonathan Stray, Jan Balaguer, Romuald Elie and Christopher Summerfield
Year 2024