Collective Human Intelligence (CHI): From Fear of AI to Joint Action

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This article proposes the development of collective human intelligence (CHI) as a response to concerns about artificial intelligence and the limited capacity of political organisations to address growing societal complexity. We examine how a variable organisational structure—the dynamic network—could enable party subdivisions to combine distributed knowledge, develop shared decisions and coordinate their implementation. The method involves orderly transitions between sectoral groups and cross-groups, followed by collective adoption of decisions and implementation through dedicated groups. We hypothesise that organising interaction in this way can limit the escalation of conflicts used to establish personal dominance, support trust and create conditions for mutual learning. Repeated cycles of deliberation, joint action and evaluation may strengthen collective intelligence and organisational agency. AI serves as a supporting tool, with its proposals subject to expert scrutiny and collective discussion, while responsibility remains with people. Experience from more than 170 documented events provides a practical basis for exploring the approach, although the sustained development of CHI through repeated cycles remains a hypothesis requiring further testing. While the article focuses on political parties, the approach could also be applied in civil society organisations and think tanks.