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AI Learning Group: Systems Sensing

Instructions, prompts, and resources for using AI in your systems sensing practices.

This chatbot was trained on systems and complexity thinking frameworks, complex adaptive change, futures thinking, and critical race theory, drawing on the works of: 

  • Donella Meadows

  • Dave Snowden

  • Sohail Inayatullah

  • Richard Delgado

  • Jean Stefancic

  • Glenda Eoyang

 

The underlying LLM is Claude 4.5 Haiku.​​​​​

Systems Sensing and AI

Systems sensing is a critical part of advancing systemic change. It is a form of being in relationship with the system - listening for and making sense of patterns, early signals, and events. To quote Donella Meadows: "We can't control systems or figure them out. But we can dance with them." 

However, we face very human limitations in our ability to dance with systems. Systems are deeply complex, ever-changing, and our knowledge gaps are larger than our knowledge base. We are also wearing cognitive blinders: we anchor too easily, we lean into our biases without seeing them, and we treat as most credible that information that confirms our existing beliefs, among many other biases.

AI can help us overcome these challenges and listen to systems, making sense of patterns as change happens. 

Using the Systems Sensing Chatbot

Identify a recent experience where, during sensemaking, something felt off - an assumption, a missing piece of information. Develop a question you could have asked the AI to help the team’s thinking in that moment. Make sure to provide the AI with sufficient context to understand what you are trying to solve.

Security matters when working with any AI platform. Always check to confirm how your data will be kept secure and used.

 

These chatbots are not designed as a secure space. Only share information you would share in a public setting.

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