Researchers suggest that artificial intelligence (AI) could help bridge deep cultural divides by facilitating mediation processes. They propose a system capable of crafting group statements that encompass both majority and minority perspectives, thereby fostering common ground. Prof. Chris Summerfield from the University of Oxford, who co-authored the study, emphasized that this AI tool could aid UK political leaders in understanding public opinion better than traditional surveys or costly citizen assemblies. Described in the journal *Science*, the AI, dubbed the “Habermas Machine” after philosopher Jürgen Habermas, analyzes individual written opinions within a group and generates inclusive group statements. Group members then evaluate these statements, which not only refines the AI's capabilities but also identifies the most favored ideas. Participants can also critique statements, prompting a revised batch for further ranking. In experiments with over 5, 000 UK participants discussing various topics—from medical research involving monkeys to religious education—the AI-generated group statements were preferred 56% of the time compared to those created by human mediators.

The AI statements were also viewed as clearer and more informative. Moreover, a two-step process using the Habermas Machine enhanced overall agreement among participants by an average of eight percentage points, indicating a modest shift in views. While the AI promotes majority opinions, it also seeks to incorporate minority perspectives, which some researchers, like Dr. Melanie Garson, criticize for potentially sidelining very small minority voices, leaving them disproportionately affected. Garson highlighted that the Habermas Machine does not allow participants to express their feelings, which could inhibit empathy building. Ultimately, the researchers recognize the complexities of translating AI mediation outcomes into actionable policies and note the importance of context in the mediation process, particularly in fostering long-term relational dynamics.