AI Consolidates Discussion of 250 People into One

In commemoration of the 250th anniversary of the founding of the United States, an experiment in large-scale group deliberation using AI was conducted. Using a platform called Thinkscape developed by AI startup Unanimous AI, 277 Americans randomly selected from across the nation participated in approximately 20 minutes of online deliberation. They discussed the theme "What are the top 3 innovations the United States has contributed to the world over the past 250 years?" and derived a collective answer.

In general, discussion among large groups is difficult to conduct effectively. In typical business meetings or focus groups (small groups for opinion gathering), the quality of discussion declines when participants exceed 8-10 people. This is because it becomes impossible to allocate time for everyone to speak, and "coordinated discussions" involving hundreds of people have been impractical until now. This experiment took a technological approach to this fundamental challenge.

Unanimous AI adopted what is called "hypercommunication" technology. The mechanism divides participants into multiple small groups and facilitates parallel discussions while specialized AI agents connect all small groups in real-time, making the entire process function as a single deliberation. In this experiment, 277 participants were divided into parallel deliberation spaces of 4-5 people each, and AI agent groups integrated these spaces.

During the deliberation process, participants could express their opinions in text, voice, or video format. A total of 94 ideas were generated across the group, after which a winnowing process was conducted. Participants had diverse political and social backgrounds and were recruited broadly from different regions across the country. A distinctive feature was that it was designed as true "deliberation" incorporating reasoning and counterarguments, rather than simply collecting survey responses.

The attention this experiment attracts is due to growing interest in "collective intelligence" powered by AI. The underlying idea is that rather than simply aggregating knowledge and judgment held by many people, refining them through deliberation enables higher-quality collective decision-making. Unanimous AI refers to this concept as "collective superintelligence," and it has been covered by media outlets like VentureBeat for the past two years.

These efforts to realize large-scale deliberation through AI are seen as having potential applications across a wide range of fields including democratic decision-making, policy development, and consensus-building within organizations. At the same time, questions about the transparency of how AI agents adjust the flow of discussion and the extent to which participants' true opinions are faithfully reflected will likely become focal points for future debate. As a demonstration case showing the effectiveness of the technology, this experiment represents an important first step.