Facilitating System Change With GOSR: Integrating AI and Human Collaboration

Abstract

Problem solving in complex domains requires approaches that encourage systems thinking, collaboration, and recognize multiple simultaneous solutions. Building from principles of General Systems Theory and existing problem structuring methods, we present a new method for supporting system partners working to address complex problems called GOSR. The model's phases include generating a superordinate goal statement (G), identifying obstacles (O) and potential solutions (S), and mapping existing resources (R). GOSR combines distributed decision‐making, self‐alignment of system actions, future orientation, interorganizational scope, and focus on solutions and existing resources. Its implementation entails human facilitation with rapid data collection and sensemaking from generative artificial intelligence, enabling widescale problem structuring. Its contribution lies in helping system partners increase awareness of others' efforts and opportunities for alignment without the constraints of central orchestration.