""I had an a-ha moment one day when I realized people are asking AI to explain something like they're five years old," Tommy Lorsch, co-founder and CEO of Complex Chaos, told TechCrunch. "What if we use it as a facilitator to help people understand each other and find common ground?" He and co-founder Maya Ben Dror are developing tools to help people arrive at a consensus. One of their first test cases involved climate negotiations, but it really doesn't matter what the issue is. His goal is to foster cooperation and shorten the time it takes for groups to come to agreement."
"Facilitating cooperation isn't something that scales well, he said. Typically, trained facilitators will spend time with groups to help them arrive at a consensus, but that process can slow down when negotiations or preparations happen across time zones or even in different rooms. Lorsch was buoyed by a recent LLM developed by Google called the Habermas Machine, which was developed explicitly with that goal in mind. "This is basically an AI that generates group consensus statements where people feel represented both majority and minority point of view," he said."
Complex Chaos, co-founded by Tommy Lorsch and Maya Ben Dror, is building AI-driven facilitation tools to help groups reach consensus. The tools aim to generate questions, set conversation goals, and summarize lengthy documents to accelerate agreement and represent diverse viewpoints. The approach targets cooperation rather than standard collaboration software and seeks to scale facilitation that traditionally requires trained moderators. A trial helped young delegates from nine African nations prepare a consensus bloc for climate negotiations at a United Nations campus in Bonn, using Google's Habermas Machine alongside OpenAI's ChatGPT.
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